Topic recognition - #143

Open
FinnRobertson15 wants to merge 14 commits into
shakes76:topic-recognitionfrom
FinnRobertson15:topic-recognition
Open

Topic recognition#143
FinnRobertson15 wants to merge 14 commits into
shakes76:topic-recognitionfrom
FinnRobertson15:topic-recognition

Conversation

@FinnRobertson15

@FinnRobertson15FinnRobertson15 commented Oct 21, 2023

Copy link
Copy Markdown

This is a Triplet Siamese Classifier for the ADNI dataset to classifier Alzheimer's disease

@FinnRobertson15
Created a google Colab Version
43b0641
@FinnRobertson15
Got images to download in GoogleDrive and added to loader
8b28fe8
@FinnRobertson15
First version of model created, loss is very low but accuracy right n…
6e899b2
…ow is nan%
@FinnRobertson15
Added classification testing and adjusted some hyper parameters. Stil…
20f2289
…l getting 50% accuracy...
@FinnRobertson15
Got triple accuracy up to ~70%. I randomize the order of all three co…
0f1bd3c
…ls each batch, rotate the images and use L2 regularization
@FinnRobertson15
Tuned hyperparameters, will run for 100 epochs
20da493
@FinnRobertson15
Changed to SGD, fixed classifier to actually use embeddings. Getting …
67818e0
…~70% test accuracy
@FinnRobertson15
Getting > 0.01 loss on validation after epoch 6
b9150d2
@FinnRobertson15
Add files via upload
220bc37
Moved from jupyer notebook to python files, changed to Random Forest Classifier
@FinnRobertson15
Add files via upload
61dd2c4
Moved to correct folder
@FinnRobertson15
Add files via upload
8a21651
Results images
@FinnRobertson15
Add files via upload
124401d
More images
@FinnRobertson15
Added Readme
1259e8b
@FinnRobertson15
Update README.md to include accuracy
61a5061
@nathasha-naranpanawa

nathasha-naranpanawa commented Nov 6, 2023

Copy link
Copy Markdown
Collaborator

This is an initial inspection, no action is required at this point

Difficulty: Hard

Readme: Poor

  • some information provided on the algorithm
  • some plots/figures provided with no context and minimal information
  • a triplet loss plot ir shown, but no plots for the classifier are presented
  • no discussion/interpretations on the results

Commit messages: OK, very few and very brief

Code:

  • minimal to no comments
  • design is ok

Functionality/Performance:

  • looking at the 2d manifold, the triplet doesn't seem to have learned anything at all(?)
  • classification accuracy is only 65%

General comments:

  • solves the problem apporpriately although performance is very poor

@shakes76

shakes76 commented Nov 20, 2023•
edited
Loading

Copy link
Copy Markdown
Owner

Marking

Good Practice (Design/Commenting, TF/Torch Usage)

Adequate design and implementation
Good spacing and comments
Header blocks missing -1

Recognition Problem

Solves problem, poor performance -1
Driver Script present
File structure present, but not in folder, may your own folder for project code -2
Shows Usage & Demo & Visualisation & Data usage, no classifier plot -1
Module present
Commenting minimal -1
No Data leakage
Difficulty: Hard

Commit Log

Meaningful commit messages
Progressive commits used

Documentation

ReadMe OK, no usage, no refs -2
Model/technical explanation, no architecture -1
Good Description and Comments
Markdown used and PDF submitted

Pull Request

Successful Pull Request (Working Algorithm Delivered on Time in Correct Branch)
Feedback required, move code into your own folder and restore repo README -2
Request Description minimal -1

@shakes76shakes76 added the question Further information is requested label Nov 20, 2023
@shakes76

shakes76 commented Nov 20, 2023

Copy link
Copy Markdown
Owner

Feedback marks possible +2 if the requested changes are made (see above).

@wangzhaomxy

wangzhaomxy commented Nov 21, 2023

Copy link
Copy Markdown
Collaborator

No feedback attempt and no feedback marks granted.

Sign up for freeto join this conversation on GitHub. Already have an account? Sign in to comment

Reviewers

No reviews

Assignees

No one assigned

Labels

questionFurther information is requestedSiamese

Projects

None yet

Milestone

No milestone

Development

Successfully merging this pull request may close these issues.

4 participants

@FinnRobertson15@nathasha-naranpanawa@shakes76@wangzhaomxy
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
Topic recognition - #143
Open
FinnRobertson15 wants to merge 14 commits into
shakes76:topic-recognitionfrom 
FinnRobertson15:topic-recognition
Open
Topic recognition#143
FinnRobertson15 wants to merge 14 commits into
shakes76:topic-recognitionfrom 
FinnRobertson15:topic-recognition
Conversation
@FinnRobertson15
@FinnRobertson15FinnRobertson15
commented
Oct 21, 2023

Copy link


Copy Markdown

This is a Triplet Siamese Classifier for the ADNI dataset to classifier Alzheimer's disease
@FinnRobertson15
Created a google Colab Version
43b0641
@FinnRobertson15
Got images to download in GoogleDrive and added to loader
8b28fe8
@FinnRobertson15
First version of model created, loss is very low but accuracy right n…
6e899b2
…ow is nan%
@FinnRobertson15
Added classification testing and adjusted some hyper parameters. Stil…
20f2289
…l getting 50% accuracy...
@FinnRobertson15
Got triple accuracy up to ~70%. I randomize the order of all three co…
0f1bd3c
…ls each batch, rotate the images and use L2 regularization
@FinnRobertson15
Tuned hyperparameters, will run for 100 epochs
20da493
@FinnRobertson15
Changed to SGD, fixed classifier to actually use embeddings. Getting …
67818e0
…~70% test accuracy
@FinnRobertson15
Getting > 0.01 loss on validation after epoch 6
b9150d2
@FinnRobertson15
Add files via upload
220bc37
Moved from jupyer notebook to python files, changed to Random Forest Classifier
@FinnRobertson15
Add files via upload
61dd2c4
Moved to correct folder
@FinnRobertson15
Add files via upload
8a21651
Results images
@FinnRobertson15
Add files via upload
124401d
More images
@FinnRobertson15
Added Readme
1259e8b
@FinnRobertson15
Update README.md to include accuracy
61a5061
@nathasha-naranpanawa
nathasha-naranpanawa
commented
Nov 6, 2023

Copy link


Copy Markdown

Collaborator
This is an initial inspection, no action is required at this point
Difficulty: Hard
Readme: Poor
  • some information provided on the algorithm
  • some plots/figures provided with no context and minimal information
  • a triplet loss plot ir shown, but no plots for the classifier are presented
  • no discussion/interpretations on the results
Commit messages: OK, very few and very brief
Code:
  • minimal to no comments
  • design is ok
Functionality/Performance:
  • looking at the 2d manifold, the triplet doesn't seem to have learned anything at all(?)
  • classification accuracy is only 65%
General comments:
  • solves the problem apporpriately although performance is very poor
@shakes76
shakes76
commented
Nov 20, 2023•

edited

Loading

Copy link


Copy Markdown

Owner
Marking
Good Practice (Design/Commenting, TF/Torch Usage)
Adequate design and implementation

Good spacing and comments

Header blocks missing -1
Recognition Problem
Solves problem, poor performance -1

Driver Script present

File structure present, but not in folder, may your own folder for project code -2

Shows Usage & Demo & Visualisation & Data usage, no classifier plot -1

Module present

Commenting minimal -1

No Data leakage

Difficulty: Hard
Commit Log
Meaningful commit messages

Progressive commits used
Documentation
ReadMe OK, no usage, no refs -2

Model/technical explanation, no architecture -1

Good Description and Comments

Markdown used and PDF submitted
Pull Request
Successful Pull Request (Working Algorithm Delivered on Time in Correct Branch)

Feedback required, move code into your own folder and restore repo README -2

Request Description minimal -1
@shakes76shakes76
added
the 
question
Further information is requested
label
Nov 20, 2023
@shakes76
shakes76
commented
Nov 20, 2023

Copy link


Copy Markdown

Owner
Feedback marks possible +2 if the requested changes are made (see above).
@wangzhaomxy
wangzhaomxy
commented
Nov 21, 2023

Copy link


Copy Markdown

Collaborator
No feedback attempt and no feedback marks granted.
Sign up for freeto join this conversation on GitHub.
Already have an account?
Sign in to comment

Reviewers


No reviews


Assignees


No one assigned


Labels

questionFurther information is requestedSiamese

Projects


None yet


Milestone


No milestone


Development

Successfully merging this pull request may close these issues.

4 participants

@FinnRobertson15@nathasha-naranpanawa@shakes76@wangzhaomxy

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
Topic recognition - #143
Open
FinnRobertson15 wants to merge 14 commits into
shakes76:topic-recognitionfrom 
FinnRobertson15:topic-recognition
Open
Topic recognition#143
FinnRobertson15 wants to merge 14 commits into
shakes76:topic-recognitionfrom 
FinnRobertson15:topic-recognition
Conversation
@FinnRobertson15
@FinnRobertson15FinnRobertson15
commented
Oct 21, 2023

Copy link


Copy Markdown

This is a Triplet Siamese Classifier for the ADNI dataset to classifier Alzheimer's disease
@FinnRobertson15
Created a google Colab Version
43b0641
@FinnRobertson15
Got images to download in GoogleDrive and added to loader
8b28fe8
@FinnRobertson15
First version of model created, loss is very low but accuracy right n…
6e899b2
…ow is nan%
@FinnRobertson15
Added classification testing and adjusted some hyper parameters. Stil…
20f2289
…l getting 50% accuracy...
@FinnRobertson15
Got triple accuracy up to ~70%. I randomize the order of all three co…
0f1bd3c
…ls each batch, rotate the images and use L2 regularization
@FinnRobertson15
Tuned hyperparameters, will run for 100 epochs
20da493
@FinnRobertson15
Changed to SGD, fixed classifier to actually use embeddings. Getting …
67818e0
…~70% test accuracy
@FinnRobertson15
Getting > 0.01 loss on validation after epoch 6
b9150d2
@FinnRobertson15
Add files via upload
220bc37
Moved from jupyer notebook to python files, changed to Random Forest Classifier
@FinnRobertson15
Add files via upload
61dd2c4
Moved to correct folder
@FinnRobertson15
Add files via upload
8a21651
Results images
@FinnRobertson15
Add files via upload
124401d
More images
@FinnRobertson15
Added Readme
1259e8b
@FinnRobertson15
Update README.md to include accuracy
61a5061
@nathasha-naranpanawa
nathasha-naranpanawa
commented
Nov 6, 2023

Copy link


Copy Markdown

Collaborator
This is an initial inspection, no action is required at this point
Difficulty: Hard
Readme: Poor
  • some information provided on the algorithm
  • some plots/figures provided with no context and minimal information
  • a triplet loss plot ir shown, but no plots for the classifier are presented
  • no discussion/interpretations on the results
Commit messages: OK, very few and very brief
Code:
  • minimal to no comments
  • design is ok
Functionality/Performance:
  • looking at the 2d manifold, the triplet doesn't seem to have learned anything at all(?)
  • classification accuracy is only 65%
General comments:
  • solves the problem apporpriately although performance is very poor
@shakes76
shakes76
commented
Nov 20, 2023•

edited

Loading

Copy link


Copy Markdown

Owner
Marking
Good Practice (Design/Commenting, TF/Torch Usage)
Adequate design and implementation

Good spacing and comments

Header blocks missing -1
Recognition Problem
Solves problem, poor performance -1

Driver Script present

File structure present, but not in folder, may your own folder for project code -2

Shows Usage & Demo & Visualisation & Data usage, no classifier plot -1

Module present

Commenting minimal -1

No Data leakage

Difficulty: Hard
Commit Log
Meaningful commit messages

Progressive commits used
Documentation
ReadMe OK, no usage, no refs -2

Model/technical explanation, no architecture -1

Good Description and Comments

Markdown used and PDF submitted
Pull Request
Successful Pull Request (Working Algorithm Delivered on Time in Correct Branch)

Feedback required, move code into your own folder and restore repo README -2

Request Description minimal -1
@shakes76shakes76
added
the 
question
Further information is requested
label
Nov 20, 2023
@shakes76
shakes76
commented
Nov 20, 2023

Copy link


Copy Markdown

Owner
Feedback marks possible +2 if the requested changes are made (see above).
@wangzhaomxy
wangzhaomxy
commented
Nov 21, 2023

Copy link


Copy Markdown

Collaborator
No feedback attempt and no feedback marks granted.
Sign up for freeto join this conversation on GitHub.
Already have an account?
Sign in to comment

Reviewers


No reviews


Assignees


No one assigned


Labels

questionFurther information is requestedSiamese

Projects


None yet


Milestone


No milestone


Development

Successfully merging this pull request may close these issues.

4 participants

@FinnRobertson15@nathasha-naranpanawa@shakes76@wangzhaomxy

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
Topic recognition - #143
Open
FinnRobertson15 wants to merge 14 commits into
shakes76:topic-recognitionfrom 
FinnRobertson15:topic-recognition
Open
Topic recognition#143
FinnRobertson15 wants to merge 14 commits into
shakes76:topic-recognitionfrom 
FinnRobertson15:topic-recognition
Conversation
@FinnRobertson15
@FinnRobertson15FinnRobertson15
commented
Oct 21, 2023

Copy link


Copy Markdown

This is a Triplet Siamese Classifier for the ADNI dataset to classifier Alzheimer's disease
@FinnRobertson15
Created a google Colab Version
43b0641
@FinnRobertson15
Got images to download in GoogleDrive and added to loader
8b28fe8
@FinnRobertson15
First version of model created, loss is very low but accuracy right n…
6e899b2
…ow is nan%
@FinnRobertson15
Added classification testing and adjusted some hyper parameters. Stil…
20f2289
…l getting 50% accuracy...
@FinnRobertson15
Got triple accuracy up to ~70%. I randomize the order of all three co…
0f1bd3c
…ls each batch, rotate the images and use L2 regularization
@FinnRobertson15
Tuned hyperparameters, will run for 100 epochs
20da493
@FinnRobertson15
Changed to SGD, fixed classifier to actually use embeddings. Getting …
67818e0
…~70% test accuracy
@FinnRobertson15
Getting > 0.01 loss on validation after epoch 6
b9150d2
@FinnRobertson15
Add files via upload
220bc37
Moved from jupyer notebook to python files, changed to Random Forest Classifier
@FinnRobertson15
Add files via upload
61dd2c4
Moved to correct folder
@FinnRobertson15
Add files via upload
8a21651
Results images
@FinnRobertson15
Add files via upload
124401d
More images
@FinnRobertson15
Added Readme
1259e8b
@FinnRobertson15
Update README.md to include accuracy
61a5061
@nathasha-naranpanawa
nathasha-naranpanawa
commented
Nov 6, 2023

Copy link


Copy Markdown

Collaborator
This is an initial inspection, no action is required at this point
Difficulty: Hard
Readme: Poor
  • some information provided on the algorithm
  • some plots/figures provided with no context and minimal information
  • a triplet loss plot ir shown, but no plots for the classifier are presented
  • no discussion/interpretations on the results
Commit messages: OK, very few and very brief
Code:
  • minimal to no comments
  • design is ok
Functionality/Performance:
  • looking at the 2d manifold, the triplet doesn't seem to have learned anything at all(?)
  • classification accuracy is only 65%
General comments:
  • solves the problem apporpriately although performance is very poor
@shakes76
shakes76
commented
Nov 20, 2023•

edited

Loading

Copy link


Copy Markdown

Owner
Marking
Good Practice (Design/Commenting, TF/Torch Usage)
Adequate design and implementation

Good spacing and comments

Header blocks missing -1
Recognition Problem
Solves problem, poor performance -1

Driver Script present

File structure present, but not in folder, may your own folder for project code -2

Shows Usage & Demo & Visualisation & Data usage, no classifier plot -1

Module present

Commenting minimal -1

No Data leakage

Difficulty: Hard
Commit Log
Meaningful commit messages

Progressive commits used
Documentation
ReadMe OK, no usage, no refs -2

Model/technical explanation, no architecture -1

Good Description and Comments

Markdown used and PDF submitted
Pull Request
Successful Pull Request (Working Algorithm Delivered on Time in Correct Branch)

Feedback required, move code into your own folder and restore repo README -2

Request Description minimal -1
@shakes76shakes76
added
the 
question
Further information is requested
label
Nov 20, 2023
@shakes76
shakes76
commented
Nov 20, 2023

Copy link


Copy Markdown

Owner
Feedback marks possible +2 if the requested changes are made (see above).
@wangzhaomxy
wangzhaomxy
commented
Nov 21, 2023

Copy link


Copy Markdown

Collaborator
No feedback attempt and no feedback marks granted.
Sign up for freeto join this conversation on GitHub.
Already have an account?
Sign in to comment

Reviewers


No reviews


Assignees


No one assigned


Labels

questionFurther information is requestedSiamese

Projects


None yet


Milestone


No milestone


Development

Successfully merging this pull request may close these issues.

4 participants

@FinnRobertson15@nathasha-naranpanawa@shakes76@wangzhaomxy

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
Topic recognition - #143
Open
FinnRobertson15 wants to merge 14 commits into
shakes76:topic-recognitionfrom 
FinnRobertson15:topic-recognition
Open
Topic recognition#143
FinnRobertson15 wants to merge 14 commits into
shakes76:topic-recognitionfrom 
FinnRobertson15:topic-recognition
Conversation
@FinnRobertson15
@FinnRobertson15FinnRobertson15
commented
Oct 21, 2023

Copy link


Copy Markdown

This is a Triplet Siamese Classifier for the ADNI dataset to classifier Alzheimer's disease
@FinnRobertson15
Created a google Colab Version
43b0641
@FinnRobertson15
Got images to download in GoogleDrive and added to loader
8b28fe8
@FinnRobertson15
First version of model created, loss is very low but accuracy right n…
6e899b2
…ow is nan%
@FinnRobertson15
Added classification testing and adjusted some hyper parameters. Stil…
20f2289
…l getting 50% accuracy...
@FinnRobertson15
Got triple accuracy up to ~70%. I randomize the order of all three co…
0f1bd3c
…ls each batch, rotate the images and use L2 regularization
@FinnRobertson15
Tuned hyperparameters, will run for 100 epochs
20da493
@FinnRobertson15
Changed to SGD, fixed classifier to actually use embeddings. Getting …
67818e0
…~70% test accuracy
@FinnRobertson15
Getting > 0.01 loss on validation after epoch 6
b9150d2
@FinnRobertson15
Add files via upload
220bc37
Moved from jupyer notebook to python files, changed to Random Forest Classifier
@FinnRobertson15
Add files via upload
61dd2c4
Moved to correct folder
@FinnRobertson15
Add files via upload
8a21651
Results images
@FinnRobertson15
Add files via upload
124401d
More images
@FinnRobertson15
Added Readme
1259e8b
@FinnRobertson15
Update README.md to include accuracy
61a5061
@nathasha-naranpanawa
nathasha-naranpanawa
commented
Nov 6, 2023

Copy link


Copy Markdown

Collaborator
This is an initial inspection, no action is required at this point
Difficulty: Hard
Readme: Poor
  • some information provided on the algorithm
  • some plots/figures provided with no context and minimal information
  • a triplet loss plot ir shown, but no plots for the classifier are presented
  • no discussion/interpretations on the results
Commit messages: OK, very few and very brief
Code:
  • minimal to no comments
  • design is ok
Functionality/Performance:
  • looking at the 2d manifold, the triplet doesn't seem to have learned anything at all(?)
  • classification accuracy is only 65%
General comments:
  • solves the problem apporpriately although performance is very poor
@shakes76
shakes76
commented
Nov 20, 2023•

edited

Loading

Copy link


Copy Markdown

Owner
Marking
Good Practice (Design/Commenting, TF/Torch Usage)
Adequate design and implementation

Good spacing and comments

Header blocks missing -1
Recognition Problem
Solves problem, poor performance -1

Driver Script present

File structure present, but not in folder, may your own folder for project code -2

Shows Usage & Demo & Visualisation & Data usage, no classifier plot -1

Module present

Commenting minimal -1

No Data leakage

Difficulty: Hard
Commit Log
Meaningful commit messages

Progressive commits used
Documentation
ReadMe OK, no usage, no refs -2

Model/technical explanation, no architecture -1

Good Description and Comments

Markdown used and PDF submitted
Pull Request
Successful Pull Request (Working Algorithm Delivered on Time in Correct Branch)

Feedback required, move code into your own folder and restore repo README -2

Request Description minimal -1
@shakes76shakes76
added
the 
question
Further information is requested
label
Nov 20, 2023
@shakes76
shakes76
commented
Nov 20, 2023

Copy link


Copy Markdown

Owner
Feedback marks possible +2 if the requested changes are made (see above).
@wangzhaomxy
wangzhaomxy
commented
Nov 21, 2023

Copy link


Copy Markdown

Collaborator
No feedback attempt and no feedback marks granted.
Sign up for freeto join this conversation on GitHub.
Already have an account?
Sign in to comment

Reviewers


No reviews


Assignees


No one assigned


Labels

questionFurther information is requestedSiamese

Projects


None yet


Milestone


No milestone


Development

Successfully merging this pull request may close these issues.

4 participants

@FinnRobertson15@nathasha-naranpanawa@shakes76@wangzhaomxy

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
Topic recognition - #143
Open
FinnRobertson15 wants to merge 14 commits into
shakes76:topic-recognitionfrom 
FinnRobertson15:topic-recognition
Open
Topic recognition#143
FinnRobertson15 wants to merge 14 commits into
shakes76:topic-recognitionfrom 
FinnRobertson15:topic-recognition
Conversation
@FinnRobertson15
@FinnRobertson15FinnRobertson15
commented
Oct 21, 2023

Copy link


Copy Markdown

This is a Triplet Siamese Classifier for the ADNI dataset to classifier Alzheimer's disease
@FinnRobertson15
Created a google Colab Version
43b0641
@FinnRobertson15
Got images to download in GoogleDrive and added to loader
8b28fe8
@FinnRobertson15
First version of model created, loss is very low but accuracy right n…
6e899b2
…ow is nan%
@FinnRobertson15
Added classification testing and adjusted some hyper parameters. Stil…
20f2289
…l getting 50% accuracy...
@FinnRobertson15
Got triple accuracy up to ~70%. I randomize the order of all three co…
0f1bd3c
…ls each batch, rotate the images and use L2 regularization
@FinnRobertson15
Tuned hyperparameters, will run for 100 epochs
20da493
@FinnRobertson15
Changed to SGD, fixed classifier to actually use embeddings. Getting …
67818e0
…~70% test accuracy
@FinnRobertson15
Getting > 0.01 loss on validation after epoch 6
b9150d2
@FinnRobertson15
Add files via upload
220bc37
Moved from jupyer notebook to python files, changed to Random Forest Classifier
@FinnRobertson15
Add files via upload
61dd2c4
Moved to correct folder
@FinnRobertson15
Add files via upload
8a21651
Results images
@FinnRobertson15
Add files via upload
124401d
More images
@FinnRobertson15
Added Readme
1259e8b
@FinnRobertson15
Update README.md to include accuracy
61a5061
@nathasha-naranpanawa
nathasha-naranpanawa
commented
Nov 6, 2023

Copy link


Copy Markdown

Collaborator
This is an initial inspection, no action is required at this point
Difficulty: Hard
Readme: Poor
  • some information provided on the algorithm
  • some plots/figures provided with no context and minimal information
  • a triplet loss plot ir shown, but no plots for the classifier are presented
  • no discussion/interpretations on the results
Commit messages: OK, very few and very brief
Code:
  • minimal to no comments
  • design is ok
Functionality/Performance:
  • looking at the 2d manifold, the triplet doesn't seem to have learned anything at all(?)
  • classification accuracy is only 65%
General comments:
  • solves the problem apporpriately although performance is very poor
@shakes76
shakes76
commented
Nov 20, 2023•

edited

Loading

Copy link


Copy Markdown

Owner
Marking
Good Practice (Design/Commenting, TF/Torch Usage)
Adequate design and implementation

Good spacing and comments

Header blocks missing -1
Recognition Problem
Solves problem, poor performance -1

Driver Script present

File structure present, but not in folder, may your own folder for project code -2

Shows Usage & Demo & Visualisation & Data usage, no classifier plot -1

Module present

Commenting minimal -1

No Data leakage

Difficulty: Hard
Commit Log
Meaningful commit messages

Progressive commits used
Documentation
ReadMe OK, no usage, no refs -2

Model/technical explanation, no architecture -1

Good Description and Comments

Markdown used and PDF submitted
Pull Request
Successful Pull Request (Working Algorithm Delivered on Time in Correct Branch)

Feedback required, move code into your own folder and restore repo README -2

Request Description minimal -1
@shakes76shakes76
added
the 
question
Further information is requested
label
Nov 20, 2023
@shakes76
shakes76
commented
Nov 20, 2023

Copy link


Copy Markdown

Owner
Feedback marks possible +2 if the requested changes are made (see above).
@wangzhaomxy
wangzhaomxy
commented
Nov 21, 2023

Copy link


Copy Markdown

Collaborator
No feedback attempt and no feedback marks granted.
Sign up for freeto join this conversation on GitHub.
Already have an account?
Sign in to comment

Reviewers


No reviews


Assignees


No one assigned


Labels

questionFurther information is requestedSiamese

Projects


None yet


Milestone


No milestone


Development

Successfully merging this pull request may close these issues.

4 participants

@FinnRobertson15@nathasha-naranpanawa@shakes76@wangzhaomxy

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
Topic recognition - #143
Open
FinnRobertson15 wants to merge 14 commits into
shakes76:topic-recognitionfrom 
FinnRobertson15:topic-recognition
Open
Topic recognition#143
FinnRobertson15 wants to merge 14 commits into
shakes76:topic-recognitionfrom 
FinnRobertson15:topic-recognition
Conversation
@FinnRobertson15
@FinnRobertson15FinnRobertson15
commented
Oct 21, 2023

Copy link


Copy Markdown

This is a Triplet Siamese Classifier for the ADNI dataset to classifier Alzheimer's disease
@FinnRobertson15
Created a google Colab Version
43b0641
@FinnRobertson15
Got images to download in GoogleDrive and added to loader
8b28fe8
@FinnRobertson15
First version of model created, loss is very low but accuracy right n…
6e899b2
…ow is nan%
@FinnRobertson15
Added classification testing and adjusted some hyper parameters. Stil…
20f2289
…l getting 50% accuracy...
@FinnRobertson15
Got triple accuracy up to ~70%. I randomize the order of all three co…
0f1bd3c
…ls each batch, rotate the images and use L2 regularization
@FinnRobertson15
Tuned hyperparameters, will run for 100 epochs
20da493
@FinnRobertson15
Changed to SGD, fixed classifier to actually use embeddings. Getting …
67818e0
…~70% test accuracy
@FinnRobertson15
Getting > 0.01 loss on validation after epoch 6
b9150d2
@FinnRobertson15
Add files via upload
220bc37
Moved from jupyer notebook to python files, changed to Random Forest Classifier
@FinnRobertson15
Add files via upload
61dd2c4
Moved to correct folder
@FinnRobertson15
Add files via upload
8a21651
Results images
@FinnRobertson15
Add files via upload
124401d
More images
@FinnRobertson15
Added Readme
1259e8b
@FinnRobertson15
Update README.md to include accuracy
61a5061
@nathasha-naranpanawa
nathasha-naranpanawa
commented
Nov 6, 2023

Copy link


Copy Markdown

Collaborator
This is an initial inspection, no action is required at this point
Difficulty: Hard
Readme: Poor
  • some information provided on the algorithm
  • some plots/figures provided with no context and minimal information
  • a triplet loss plot ir shown, but no plots for the classifier are presented
  • no discussion/interpretations on the results
Commit messages: OK, very few and very brief
Code:
  • minimal to no comments
  • design is ok
Functionality/Performance:
  • looking at the 2d manifold, the triplet doesn't seem to have learned anything at all(?)
  • classification accuracy is only 65%
General comments:
  • solves the problem apporpriately although performance is very poor
@shakes76
shakes76
commented
Nov 20, 2023•

edited

Loading

Copy link


Copy Markdown

Owner
Marking
Good Practice (Design/Commenting, TF/Torch Usage)
Adequate design and implementation

Good spacing and comments

Header blocks missing -1
Recognition Problem
Solves problem, poor performance -1

Driver Script present

File structure present, but not in folder, may your own folder for project code -2

Shows Usage & Demo & Visualisation & Data usage, no classifier plot -1

Module present

Commenting minimal -1

No Data leakage

Difficulty: Hard
Commit Log
Meaningful commit messages

Progressive commits used
Documentation
ReadMe OK, no usage, no refs -2

Model/technical explanation, no architecture -1

Good Description and Comments

Markdown used and PDF submitted
Pull Request
Successful Pull Request (Working Algorithm Delivered on Time in Correct Branch)

Feedback required, move code into your own folder and restore repo README -2

Request Description minimal -1
@shakes76shakes76
added
the 
question
Further information is requested
label
Nov 20, 2023
@shakes76
shakes76
commented
Nov 20, 2023

Copy link


Copy Markdown

Owner
Feedback marks possible +2 if the requested changes are made (see above).
@wangzhaomxy
wangzhaomxy
commented
Nov 21, 2023

Copy link


Copy Markdown

Collaborator
No feedback attempt and no feedback marks granted.
Sign up for freeto join this conversation on GitHub.
Already have an account?
Sign in to comment

Reviewers


No reviews


Assignees


No one assigned


Labels

questionFurther information is requestedSiamese

Projects


None yet


Milestone


No milestone


Development

Successfully merging this pull request may close these issues.

4 participants

@FinnRobertson15@nathasha-naranpanawa@shakes76@wangzhaomxy

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

Skip to content
Topic recognition - #143
Open
FinnRobertson15 wants to merge 14 commits into
shakes76:topic-recognitionfrom 
FinnRobertson15:topic-recognition
Open
Topic recognition#143
FinnRobertson15 wants to merge 14 commits into
shakes76:topic-recognitionfrom 
FinnRobertson15:topic-recognition
Conversation
@FinnRobertson15
@FinnRobertson15FinnRobertson15
commented
Oct 21, 2023

Copy link


Copy Markdown

This is a Triplet Siamese Classifier for the ADNI dataset to classifier Alzheimer's disease
@FinnRobertson15
Created a google Colab Version
43b0641
@FinnRobertson15
Got images to download in GoogleDrive and added to loader
8b28fe8
@FinnRobertson15
First version of model created, loss is very low but accuracy right n…
6e899b2
…ow is nan%
@FinnRobertson15
Added classification testing and adjusted some hyper parameters. Stil…
20f2289
…l getting 50% accuracy...
@FinnRobertson15
Got triple accuracy up to ~70%. I randomize the order of all three co…
0f1bd3c
…ls each batch, rotate the images and use L2 regularization
@FinnRobertson15
Tuned hyperparameters, will run for 100 epochs
20da493
@FinnRobertson15
Changed to SGD, fixed classifier to actually use embeddings. Getting …
67818e0
…~70% test accuracy
@FinnRobertson15
Getting > 0.01 loss on validation after epoch 6
b9150d2
@FinnRobertson15
Add files via upload
220bc37
Moved from jupyer notebook to python files, changed to Random Forest Classifier
@FinnRobertson15
Add files via upload
61dd2c4
Moved to correct folder
@FinnRobertson15
Add files via upload
8a21651
Results images
@FinnRobertson15
Add files via upload
124401d
More images
@FinnRobertson15
Added Readme
1259e8b
@FinnRobertson15
Update README.md to include accuracy
61a5061
@nathasha-naranpanawa
nathasha-naranpanawa
commented
Nov 6, 2023

Copy link


Copy Markdown

Collaborator
This is an initial inspection, no action is required at this point
Difficulty: Hard
Readme: Poor
  • some information provided on the algorithm
  • some plots/figures provided with no context and minimal information
  • a triplet loss plot ir shown, but no plots for the classifier are presented
  • no discussion/interpretations on the results
Commit messages: OK, very few and very brief
Code:
  • minimal to no comments
  • design is ok
Functionality/Performance:
  • looking at the 2d manifold, the triplet doesn't seem to have learned anything at all(?)
  • classification accuracy is only 65%
General comments:
  • solves the problem apporpriately although performance is very poor
@shakes76
shakes76
commented
Nov 20, 2023•

edited

Loading

Copy link


Copy Markdown

Owner
Marking
Good Practice (Design/Commenting, TF/Torch Usage)
Adequate design and implementation

Good spacing and comments

Header blocks missing -1
Recognition Problem
Solves problem, poor performance -1

Driver Script present

File structure present, but not in folder, may your own folder for project code -2

Shows Usage & Demo & Visualisation & Data usage, no classifier plot -1

Module present

Commenting minimal -1

No Data leakage

Difficulty: Hard
Commit Log
Meaningful commit messages

Progressive commits used
Documentation
ReadMe OK, no usage, no refs -2

Model/technical explanation, no architecture -1

Good Description and Comments

Markdown used and PDF submitted
Pull Request
Successful Pull Request (Working Algorithm Delivered on Time in Correct Branch)

Feedback required, move code into your own folder and restore repo README -2

Request Description minimal -1
@shakes76shakes76
added
the 
question
Further information is requested
label
Nov 20, 2023
@shakes76
shakes76
commented
Nov 20, 2023

Copy link


Copy Markdown

Owner
Feedback marks possible +2 if the requested changes are made (see above).
@wangzhaomxy
wangzhaomxy
commented
Nov 21, 2023

Copy link


Copy Markdown

Collaborator
No feedback attempt and no feedback marks granted.
Sign up for freeto join this conversation on GitHub.
Already have an account?
Sign in to comment

Reviewers


No reviews


Assignees


No one assigned


Labels

questionFurther information is requestedSiamese

Projects


None yet


Milestone


No milestone


Development

Successfully merging this pull request may close these issues.

4 participants

@FinnRobertson15@nathasha-naranpanawa@shakes76@wangzhaomxy