46376066_William_Parker_ADNI_Classification_Merge - #473

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46376066_William_Parker_ADNI_Classification_Merge#473
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A request to merge the files of PatternFlow\recognition\46376066_ADNI into the main repository. Shows a implementation for a model which classifies whether brain scans are indicative of Alzheimer's or not. It was trained on and processes the given pre-processed ADNI Alzheimer's data. Implemented with Tensorflow.

Includes the modules.py, dataset.py, train.py and predict.py and a README.md with associated images.

Please read README.md for explanation of late pull request and lack of commits. (see original_git_log.txt).

@LinfengLiu98

LinfengLiu98 commented Nov 9, 2022

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Model design: It seems like you designed a ViT instead of a perceiver.

Model training: training ACC seems to be a bit low. Highly likely training loop/ model design has bugs.

Git logs: Only have two git commits.

RE: "However when used to predict on 10 positve test data it was 100% accurate." From the training plot you provided, it seems like you model is giving all 1s when you test 10 positive test data. You can try 10 negative data, it will probably give you all 1s as well.

@shakes76

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

Adequate use and implementation (some issues with the testing procedure) -2
Good spacing and comments
Header blocks missing -1

Recognition Problem

Solves problem (poor performance) -1
Driver Script present
File structure present
Shows Usage & Demo & Visualisation & Data usage
Module present (ViT or Perceiver?) -1
Commenting
No Data leakage (testing issues) -1
Difficulty: Hard

Commit Log

Meaningful commit messages
Progressive commits used, few commits used (evidence in txt file), no action taken -2

Documentation

ReadMe OK, but more info and discussion of output/results provided -1
Good Description and Comments
Markdown used PDF submitted

Pull Request

Successful Pull Request (Working Algorithm Delivered on Time in Correct Branch)
No Feedback required, but not mergeable without proper commit history, no mark deducted, but will not be merged sorry.
Request Description good

@shakes76shakes76 added the Unmergeable Cant be merged for history or other reason label Nov 20, 2022
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@parker334@LinfengLiu98@shakes76
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
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}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
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46376066_William_Parker_ADNI_Classification_Merge - #473

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parker334 wants to merge 2 commits into
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46376066_William_Parker_ADNI_Classification_Merge#473
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A request to merge the files of PatternFlow\recognition\46376066_ADNI into the main repository. Shows a implementation for a model which classifies whether brain scans are indicative of Alzheimer's or not. It was trained on and processes the given pre-processed ADNI Alzheimer's data. Implemented with Tensorflow.

Includes the modules.py, dataset.py, train.py and predict.py and a README.md with associated images.

Please read README.md for explanation of late pull request and lack of commits. (see original_git_log.txt).

@LinfengLiu98

LinfengLiu98 commented Nov 9, 2022

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Model design: It seems like you designed a ViT instead of a perceiver.

Model training: training ACC seems to be a bit low. Highly likely training loop/ model design has bugs.

Git logs: Only have two git commits.

RE: "However when used to predict on 10 positve test data it was 100% accurate." From the training plot you provided, it seems like you model is giving all 1s when you test 10 positive test data. You can try 10 negative data, it will probably give you all 1s as well.

@shakes76

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

Adequate use and implementation (some issues with the testing procedure) -2
Good spacing and comments
Header blocks missing -1

Recognition Problem

Solves problem (poor performance) -1
Driver Script present
File structure present
Shows Usage & Demo & Visualisation & Data usage
Module present (ViT or Perceiver?) -1
Commenting
No Data leakage (testing issues) -1
Difficulty: Hard

Commit Log

Meaningful commit messages
Progressive commits used, few commits used (evidence in txt file), no action taken -2

Documentation

ReadMe OK, but more info and discussion of output/results provided -1
Good Description and Comments
Markdown used PDF submitted

Pull Request

Successful Pull Request (Working Algorithm Delivered on Time in Correct Branch)
No Feedback required, but not mergeable without proper commit history, no mark deducted, but will not be merged sorry.
Request Description good

@shakes76shakes76 added the Unmergeable Cant be merged for history or other reason label Nov 20, 2022
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@parker334@LinfengLiu98@shakes76
, '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('^' + ".*" + '
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46376066_William_Parker_ADNI_Classification_Merge - #473

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parker334 wants to merge 2 commits into
shakes76:topic-recognitionfrom
parker334:topic-recognition
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46376066_William_Parker_ADNI_Classification_Merge#473
parker334 wants to merge 2 commits into
shakes76:topic-recognitionfrom
parker334:topic-recognition

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A request to merge the files of PatternFlow\recognition\46376066_ADNI into the main repository. Shows a implementation for a model which classifies whether brain scans are indicative of Alzheimer's or not. It was trained on and processes the given pre-processed ADNI Alzheimer's data. Implemented with Tensorflow.

Includes the modules.py, dataset.py, train.py and predict.py and a README.md with associated images.

Please read README.md for explanation of late pull request and lack of commits. (see original_git_log.txt).

@LinfengLiu98

LinfengLiu98 commented Nov 9, 2022

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Model design: It seems like you designed a ViT instead of a perceiver.

Model training: training ACC seems to be a bit low. Highly likely training loop/ model design has bugs.

Git logs: Only have two git commits.

RE: "However when used to predict on 10 positve test data it was 100% accurate." From the training plot you provided, it seems like you model is giving all 1s when you test 10 positive test data. You can try 10 negative data, it will probably give you all 1s as well.

@shakes76

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Owner

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

Adequate use and implementation (some issues with the testing procedure) -2
Good spacing and comments
Header blocks missing -1

Recognition Problem

Solves problem (poor performance) -1
Driver Script present
File structure present
Shows Usage & Demo & Visualisation & Data usage
Module present (ViT or Perceiver?) -1
Commenting
No Data leakage (testing issues) -1
Difficulty: Hard

Commit Log

Meaningful commit messages
Progressive commits used, few commits used (evidence in txt file), no action taken -2

Documentation

ReadMe OK, but more info and discussion of output/results provided -1
Good Description and Comments
Markdown used PDF submitted

Pull Request

Successful Pull Request (Working Algorithm Delivered on Time in Correct Branch)
No Feedback required, but not mergeable without proper commit history, no mark deducted, but will not be merged sorry.
Request Description good

@shakes76shakes76 added the Unmergeable Cant be merged for history or other reason label Nov 20, 2022
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@parker334@LinfengLiu98@shakes76
, '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('^' + ".*" + '
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46376066_William_Parker_ADNI_Classification_Merge - #473

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46376066_William_Parker_ADNI_Classification_Merge#473
parker334 wants to merge 2 commits into
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A request to merge the files of PatternFlow\recognition\46376066_ADNI into the main repository. Shows a implementation for a model which classifies whether brain scans are indicative of Alzheimer's or not. It was trained on and processes the given pre-processed ADNI Alzheimer's data. Implemented with Tensorflow.

Includes the modules.py, dataset.py, train.py and predict.py and a README.md with associated images.

Please read README.md for explanation of late pull request and lack of commits. (see original_git_log.txt).

@LinfengLiu98

LinfengLiu98 commented Nov 9, 2022

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Model design: It seems like you designed a ViT instead of a perceiver.

Model training: training ACC seems to be a bit low. Highly likely training loop/ model design has bugs.

Git logs: Only have two git commits.

RE: "However when used to predict on 10 positve test data it was 100% accurate." From the training plot you provided, it seems like you model is giving all 1s when you test 10 positive test data. You can try 10 negative data, it will probably give you all 1s as well.

@shakes76

Copy link
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Owner

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

Adequate use and implementation (some issues with the testing procedure) -2
Good spacing and comments
Header blocks missing -1

Recognition Problem

Solves problem (poor performance) -1
Driver Script present
File structure present
Shows Usage & Demo & Visualisation & Data usage
Module present (ViT or Perceiver?) -1
Commenting
No Data leakage (testing issues) -1
Difficulty: Hard

Commit Log

Meaningful commit messages
Progressive commits used, few commits used (evidence in txt file), no action taken -2

Documentation

ReadMe OK, but more info and discussion of output/results provided -1
Good Description and Comments
Markdown used PDF submitted

Pull Request

Successful Pull Request (Working Algorithm Delivered on Time in Correct Branch)
No Feedback required, but not mergeable without proper commit history, no mark deducted, but will not be merged sorry.
Request Description good

@shakes76shakes76 added the Unmergeable Cant be merged for history or other reason label Nov 20, 2022
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3 participants

@parker334@LinfengLiu98@shakes76
, '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" + '
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46376066_William_Parker_ADNI_Classification_Merge - #473

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parker334 wants to merge 2 commits into
shakes76:topic-recognitionfrom
parker334:topic-recognition
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46376066_William_Parker_ADNI_Classification_Merge#473
parker334 wants to merge 2 commits into
shakes76:topic-recognitionfrom
parker334:topic-recognition

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A request to merge the files of PatternFlow\recognition\46376066_ADNI into the main repository. Shows a implementation for a model which classifies whether brain scans are indicative of Alzheimer's or not. It was trained on and processes the given pre-processed ADNI Alzheimer's data. Implemented with Tensorflow.

Includes the modules.py, dataset.py, train.py and predict.py and a README.md with associated images.

Please read README.md for explanation of late pull request and lack of commits. (see original_git_log.txt).

@LinfengLiu98

LinfengLiu98 commented Nov 9, 2022

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Model design: It seems like you designed a ViT instead of a perceiver.

Model training: training ACC seems to be a bit low. Highly likely training loop/ model design has bugs.

Git logs: Only have two git commits.

RE: "However when used to predict on 10 positve test data it was 100% accurate." From the training plot you provided, it seems like you model is giving all 1s when you test 10 positive test data. You can try 10 negative data, it will probably give you all 1s as well.

@shakes76

Copy link
Copy Markdown
Owner

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

Adequate use and implementation (some issues with the testing procedure) -2
Good spacing and comments
Header blocks missing -1

Recognition Problem

Solves problem (poor performance) -1
Driver Script present
File structure present
Shows Usage & Demo & Visualisation & Data usage
Module present (ViT or Perceiver?) -1
Commenting
No Data leakage (testing issues) -1
Difficulty: Hard

Commit Log

Meaningful commit messages
Progressive commits used, few commits used (evidence in txt file), no action taken -2

Documentation

ReadMe OK, but more info and discussion of output/results provided -1
Good Description and Comments
Markdown used PDF submitted

Pull Request

Successful Pull Request (Working Algorithm Delivered on Time in Correct Branch)
No Feedback required, but not mergeable without proper commit history, no mark deducted, but will not be merged sorry.
Request Description good

@shakes76shakes76 added the Unmergeable Cant be merged for history or other reason label Nov 20, 2022
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3 participants

@parker334@LinfengLiu98@shakes76
, '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('^' + ".*" + '
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46376066_William_Parker_ADNI_Classification_Merge - #473

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parker334 wants to merge 2 commits into
shakes76:topic-recognitionfrom
parker334:topic-recognition
Open

46376066_William_Parker_ADNI_Classification_Merge#473
parker334 wants to merge 2 commits into
shakes76:topic-recognitionfrom
parker334:topic-recognition

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A request to merge the files of PatternFlow\recognition\46376066_ADNI into the main repository. Shows a implementation for a model which classifies whether brain scans are indicative of Alzheimer's or not. It was trained on and processes the given pre-processed ADNI Alzheimer's data. Implemented with Tensorflow.

Includes the modules.py, dataset.py, train.py and predict.py and a README.md with associated images.

Please read README.md for explanation of late pull request and lack of commits. (see original_git_log.txt).

@LinfengLiu98

LinfengLiu98 commented Nov 9, 2022

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Model design: It seems like you designed a ViT instead of a perceiver.

Model training: training ACC seems to be a bit low. Highly likely training loop/ model design has bugs.

Git logs: Only have two git commits.

RE: "However when used to predict on 10 positve test data it was 100% accurate." From the training plot you provided, it seems like you model is giving all 1s when you test 10 positive test data. You can try 10 negative data, it will probably give you all 1s as well.

@shakes76

Copy link
Copy Markdown
Owner

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

Adequate use and implementation (some issues with the testing procedure) -2
Good spacing and comments
Header blocks missing -1

Recognition Problem

Solves problem (poor performance) -1
Driver Script present
File structure present
Shows Usage & Demo & Visualisation & Data usage
Module present (ViT or Perceiver?) -1
Commenting
No Data leakage (testing issues) -1
Difficulty: Hard

Commit Log

Meaningful commit messages
Progressive commits used, few commits used (evidence in txt file), no action taken -2

Documentation

ReadMe OK, but more info and discussion of output/results provided -1
Good Description and Comments
Markdown used PDF submitted

Pull Request

Successful Pull Request (Working Algorithm Delivered on Time in Correct Branch)
No Feedback required, but not mergeable without proper commit history, no mark deducted, but will not be merged sorry.
Request Description good

@shakes76shakes76 added the Unmergeable Cant be merged for history or other reason label Nov 20, 2022
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Perceiver TransformerUnmergeableCant be merged for history or other reason

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Development

Successfully merging this pull request may close these issues.

3 participants

@parker334@LinfengLiu98@shakes76
, '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('^' + ".*" + '
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46376066_William_Parker_ADNI_Classification_Merge - #473

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parker334 wants to merge 2 commits into
shakes76:topic-recognitionfrom
parker334:topic-recognition
Open

46376066_William_Parker_ADNI_Classification_Merge#473
parker334 wants to merge 2 commits into
shakes76:topic-recognitionfrom
parker334:topic-recognition

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A request to merge the files of PatternFlow\recognition\46376066_ADNI into the main repository. Shows a implementation for a model which classifies whether brain scans are indicative of Alzheimer's or not. It was trained on and processes the given pre-processed ADNI Alzheimer's data. Implemented with Tensorflow.

Includes the modules.py, dataset.py, train.py and predict.py and a README.md with associated images.

Please read README.md for explanation of late pull request and lack of commits. (see original_git_log.txt).

@LinfengLiu98

LinfengLiu98 commented Nov 9, 2022

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Collaborator

Model design: It seems like you designed a ViT instead of a perceiver.

Model training: training ACC seems to be a bit low. Highly likely training loop/ model design has bugs.

Git logs: Only have two git commits.

RE: "However when used to predict on 10 positve test data it was 100% accurate." From the training plot you provided, it seems like you model is giving all 1s when you test 10 positive test data. You can try 10 negative data, it will probably give you all 1s as well.

@shakes76

Copy link
Copy Markdown
Owner

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

Adequate use and implementation (some issues with the testing procedure) -2
Good spacing and comments
Header blocks missing -1

Recognition Problem

Solves problem (poor performance) -1
Driver Script present
File structure present
Shows Usage & Demo & Visualisation & Data usage
Module present (ViT or Perceiver?) -1
Commenting
No Data leakage (testing issues) -1
Difficulty: Hard

Commit Log

Meaningful commit messages
Progressive commits used, few commits used (evidence in txt file), no action taken -2

Documentation

ReadMe OK, but more info and discussion of output/results provided -1
Good Description and Comments
Markdown used PDF submitted

Pull Request

Successful Pull Request (Working Algorithm Delivered on Time in Correct Branch)
No Feedback required, but not mergeable without proper commit history, no mark deducted, but will not be merged sorry.
Request Description good

@shakes76shakes76 added the Unmergeable Cant be merged for history or other reason label Nov 20, 2022
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Perceiver TransformerUnmergeableCant be merged for history or other reason

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@parker334@LinfengLiu98@shakes76
, '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); } })(); })();
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46376066_William_Parker_ADNI_Classification_Merge - #473

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parker334 wants to merge 2 commits into
shakes76:topic-recognitionfrom
parker334:topic-recognition
Open

46376066_William_Parker_ADNI_Classification_Merge#473
parker334 wants to merge 2 commits into
shakes76:topic-recognitionfrom
parker334:topic-recognition

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@parker334

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A request to merge the files of PatternFlow\recognition\46376066_ADNI into the main repository. Shows a implementation for a model which classifies whether brain scans are indicative of Alzheimer's or not. It was trained on and processes the given pre-processed ADNI Alzheimer's data. Implemented with Tensorflow.

Includes the modules.py, dataset.py, train.py and predict.py and a README.md with associated images.

Please read README.md for explanation of late pull request and lack of commits. (see original_git_log.txt).

@LinfengLiu98

LinfengLiu98 commented Nov 9, 2022

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Model design: It seems like you designed a ViT instead of a perceiver.

Model training: training ACC seems to be a bit low. Highly likely training loop/ model design has bugs.

Git logs: Only have two git commits.

RE: "However when used to predict on 10 positve test data it was 100% accurate." From the training plot you provided, it seems like you model is giving all 1s when you test 10 positive test data. You can try 10 negative data, it will probably give you all 1s as well.

@shakes76

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

Adequate use and implementation (some issues with the testing procedure) -2
Good spacing and comments
Header blocks missing -1

Recognition Problem

Solves problem (poor performance) -1
Driver Script present
File structure present
Shows Usage & Demo & Visualisation & Data usage
Module present (ViT or Perceiver?) -1
Commenting
No Data leakage (testing issues) -1
Difficulty: Hard

Commit Log

Meaningful commit messages
Progressive commits used, few commits used (evidence in txt file), no action taken -2

Documentation

ReadMe OK, but more info and discussion of output/results provided -1
Good Description and Comments
Markdown used PDF submitted

Pull Request

Successful Pull Request (Working Algorithm Delivered on Time in Correct Branch)
No Feedback required, but not mergeable without proper commit history, no mark deducted, but will not be merged sorry.
Request Description good

@shakes76shakes76 added the Unmergeable Cant be merged for history or other reason label Nov 20, 2022
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Labels

Perceiver TransformerUnmergeableCant be merged for history or other reason

Projects

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Development

Successfully merging this pull request may close these issues.

3 participants

@parker334@LinfengLiu98@shakes76