Topic recognition - #440

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jordancorser wants to merge 19 commits into
shakes76:topic-recognitionfrom
jordancorser:topic-recognition
Open

Topic recognition#440
jordancorser wants to merge 19 commits into
shakes76:topic-recognitionfrom
jordancorser:topic-recognition

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Keras implementation of the VQ-VAE algorithm, using a PixelCNN to provide generative capacity. Trained to operate on the OASIS dataset, with SSIM of approx. 0.9 for all tested images.

…tent space size, adjusted epochs and implemented plotting of training losses and of the latent space for test images.
…ng to train new models, copied an open-source PixelCNN implementation - yet to optimise or adjust
…ll input sizes, however cannot be trained on the full train set
…ision. Trained PixelCNN, but sampling is unimplemented
@SiyuLiu0329

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

  • commit messages: OK
  • reconstruction: OK
  • image gen: OK
  • code commenting: OK

@shakes76

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Owner

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

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

Recognition Problem

Solves problem (poor generations) -1
Driver Script present
File structure present
Shows Usage & Demo & Visualisation & Data usage
Module present
Commenting
No Data leakage
Difficulty: Hard

Commit Log

Meaningful commit messages
Progressive commits used

Documentation

ReadMe acceptable/good
Good Description and Comments
Markdown used PDF submitted

Pull Request

Successful Pull Request (Working Algorithm Delivered on Time in Correct Branch)
Feedback required, remove model weights and checkpoints. Undo changes to other students files -2
Request Description OK, could use more info -1

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4 participants

@jordancorser@SiyuLiu0329@shakes76@LinfengLiu98
, '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 - #440

Open
jordancorser wants to merge 19 commits into
shakes76:topic-recognitionfrom
jordancorser:topic-recognition
Open

Topic recognition#440
jordancorser wants to merge 19 commits into
shakes76:topic-recognitionfrom
jordancorser:topic-recognition

Conversation

@jordancorser

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Keras implementation of the VQ-VAE algorithm, using a PixelCNN to provide generative capacity. Trained to operate on the OASIS dataset, with SSIM of approx. 0.9 for all tested images.

…tent space size, adjusted epochs and implemented plotting of training losses and of the latent space for test images.
…ng to train new models, copied an open-source PixelCNN implementation - yet to optimise or adjust
…ll input sizes, however cannot be trained on the full train set
…ision. Trained PixelCNN, but sampling is unimplemented
@SiyuLiu0329

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Collaborator

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

  • commit messages: OK
  • reconstruction: OK
  • image gen: OK
  • code commenting: OK

@shakes76

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Owner

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

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

Recognition Problem

Solves problem (poor generations) -1
Driver Script present
File structure present
Shows Usage & Demo & Visualisation & Data usage
Module present
Commenting
No Data leakage
Difficulty: Hard

Commit Log

Meaningful commit messages
Progressive commits used

Documentation

ReadMe acceptable/good
Good Description and Comments
Markdown used PDF submitted

Pull Request

Successful Pull Request (Working Algorithm Delivered on Time in Correct Branch)
Feedback required, remove model weights and checkpoints. Undo changes to other students files -2
Request Description OK, could use more info -1

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4 participants

@jordancorser@SiyuLiu0329@shakes76@LinfengLiu98
, '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 - #440

Open
jordancorser wants to merge 19 commits into
shakes76:topic-recognitionfrom
jordancorser:topic-recognition
Open

Topic recognition#440
jordancorser wants to merge 19 commits into
shakes76:topic-recognitionfrom
jordancorser:topic-recognition

Conversation

@jordancorser

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Keras implementation of the VQ-VAE algorithm, using a PixelCNN to provide generative capacity. Trained to operate on the OASIS dataset, with SSIM of approx. 0.9 for all tested images.

…tent space size, adjusted epochs and implemented plotting of training losses and of the latent space for test images.
…ng to train new models, copied an open-source PixelCNN implementation - yet to optimise or adjust
…ll input sizes, however cannot be trained on the full train set
…ision. Trained PixelCNN, but sampling is unimplemented
@SiyuLiu0329

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Collaborator

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

  • commit messages: OK
  • reconstruction: OK
  • image gen: OK
  • code commenting: OK

@shakes76

Copy link
Copy Markdown
Owner

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

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

Recognition Problem

Solves problem (poor generations) -1
Driver Script present
File structure present
Shows Usage & Demo & Visualisation & Data usage
Module present
Commenting
No Data leakage
Difficulty: Hard

Commit Log

Meaningful commit messages
Progressive commits used

Documentation

ReadMe acceptable/good
Good Description and Comments
Markdown used PDF submitted

Pull Request

Successful Pull Request (Working Algorithm Delivered on Time in Correct Branch)
Feedback required, remove model weights and checkpoints. Undo changes to other students files -2
Request Description OK, could use more info -1

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4 participants

@jordancorser@SiyuLiu0329@shakes76@LinfengLiu98
, '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 - #440

Open
jordancorser wants to merge 19 commits into
shakes76:topic-recognitionfrom
jordancorser:topic-recognition
Open

Topic recognition#440
jordancorser wants to merge 19 commits into
shakes76:topic-recognitionfrom
jordancorser:topic-recognition

Conversation

@jordancorser

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Keras implementation of the VQ-VAE algorithm, using a PixelCNN to provide generative capacity. Trained to operate on the OASIS dataset, with SSIM of approx. 0.9 for all tested images.

…tent space size, adjusted epochs and implemented plotting of training losses and of the latent space for test images.
…ng to train new models, copied an open-source PixelCNN implementation - yet to optimise or adjust
…ll input sizes, however cannot be trained on the full train set
…ision. Trained PixelCNN, but sampling is unimplemented
@SiyuLiu0329

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Collaborator

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

  • commit messages: OK
  • reconstruction: OK
  • image gen: OK
  • code commenting: OK

@shakes76

Copy link
Copy Markdown
Owner

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

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

Recognition Problem

Solves problem (poor generations) -1
Driver Script present
File structure present
Shows Usage & Demo & Visualisation & Data usage
Module present
Commenting
No Data leakage
Difficulty: Hard

Commit Log

Meaningful commit messages
Progressive commits used

Documentation

ReadMe acceptable/good
Good Description and Comments
Markdown used PDF submitted

Pull Request

Successful Pull Request (Working Algorithm Delivered on Time in Correct Branch)
Feedback required, remove model weights and checkpoints. Undo changes to other students files -2
Request Description OK, could use more info -1

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4 participants

@jordancorser@SiyuLiu0329@shakes76@LinfengLiu98
, '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 - #440

Open
jordancorser wants to merge 19 commits into
shakes76:topic-recognitionfrom
jordancorser:topic-recognition
Open

Topic recognition#440
jordancorser wants to merge 19 commits into
shakes76:topic-recognitionfrom
jordancorser:topic-recognition

Conversation

@jordancorser

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Keras implementation of the VQ-VAE algorithm, using a PixelCNN to provide generative capacity. Trained to operate on the OASIS dataset, with SSIM of approx. 0.9 for all tested images.

…tent space size, adjusted epochs and implemented plotting of training losses and of the latent space for test images.
…ng to train new models, copied an open-source PixelCNN implementation - yet to optimise or adjust
…ll input sizes, however cannot be trained on the full train set
…ision. Trained PixelCNN, but sampling is unimplemented
@SiyuLiu0329

Copy link
Copy Markdown
Collaborator

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

  • commit messages: OK
  • reconstruction: OK
  • image gen: OK
  • code commenting: OK

@shakes76

Copy link
Copy Markdown
Owner

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

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

Recognition Problem

Solves problem (poor generations) -1
Driver Script present
File structure present
Shows Usage & Demo & Visualisation & Data usage
Module present
Commenting
No Data leakage
Difficulty: Hard

Commit Log

Meaningful commit messages
Progressive commits used

Documentation

ReadMe acceptable/good
Good Description and Comments
Markdown used PDF submitted

Pull Request

Successful Pull Request (Working Algorithm Delivered on Time in Correct Branch)
Feedback required, remove model weights and checkpoints. Undo changes to other students files -2
Request Description OK, could use more info -1

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4 participants

@jordancorser@SiyuLiu0329@shakes76@LinfengLiu98
, '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 - #440

Open
jordancorser wants to merge 19 commits into
shakes76:topic-recognitionfrom
jordancorser:topic-recognition
Open

Topic recognition#440
jordancorser wants to merge 19 commits into
shakes76:topic-recognitionfrom
jordancorser:topic-recognition

Conversation

@jordancorser

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Keras implementation of the VQ-VAE algorithm, using a PixelCNN to provide generative capacity. Trained to operate on the OASIS dataset, with SSIM of approx. 0.9 for all tested images.

…tent space size, adjusted epochs and implemented plotting of training losses and of the latent space for test images.
…ng to train new models, copied an open-source PixelCNN implementation - yet to optimise or adjust
…ll input sizes, however cannot be trained on the full train set
…ision. Trained PixelCNN, but sampling is unimplemented
@SiyuLiu0329

Copy link
Copy Markdown
Collaborator

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

  • commit messages: OK
  • reconstruction: OK
  • image gen: OK
  • code commenting: OK

@shakes76

Copy link
Copy Markdown
Owner

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

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

Recognition Problem

Solves problem (poor generations) -1
Driver Script present
File structure present
Shows Usage & Demo & Visualisation & Data usage
Module present
Commenting
No Data leakage
Difficulty: Hard

Commit Log

Meaningful commit messages
Progressive commits used

Documentation

ReadMe acceptable/good
Good Description and Comments
Markdown used PDF submitted

Pull Request

Successful Pull Request (Working Algorithm Delivered on Time in Correct Branch)
Feedback required, remove model weights and checkpoints. Undo changes to other students files -2
Request Description OK, could use more info -1

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Development

Successfully merging this pull request may close these issues.

4 participants

@jordancorser@SiyuLiu0329@shakes76@LinfengLiu98
, '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 - #440

Open
jordancorser wants to merge 19 commits into
shakes76:topic-recognitionfrom
jordancorser:topic-recognition
Open

Topic recognition#440
jordancorser wants to merge 19 commits into
shakes76:topic-recognitionfrom
jordancorser:topic-recognition

Conversation

@jordancorser

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Keras implementation of the VQ-VAE algorithm, using a PixelCNN to provide generative capacity. Trained to operate on the OASIS dataset, with SSIM of approx. 0.9 for all tested images.

…tent space size, adjusted epochs and implemented plotting of training losses and of the latent space for test images.
…ng to train new models, copied an open-source PixelCNN implementation - yet to optimise or adjust
…ll input sizes, however cannot be trained on the full train set
…ision. Trained PixelCNN, but sampling is unimplemented
@SiyuLiu0329

Copy link
Copy Markdown
Collaborator

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

  • commit messages: OK
  • reconstruction: OK
  • image gen: OK
  • code commenting: OK

@shakes76

Copy link
Copy Markdown
Owner

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

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

Recognition Problem

Solves problem (poor generations) -1
Driver Script present
File structure present
Shows Usage & Demo & Visualisation & Data usage
Module present
Commenting
No Data leakage
Difficulty: Hard

Commit Log

Meaningful commit messages
Progressive commits used

Documentation

ReadMe acceptable/good
Good Description and Comments
Markdown used PDF submitted

Pull Request

Successful Pull Request (Working Algorithm Delivered on Time in Correct Branch)
Feedback required, remove model weights and checkpoints. Undo changes to other students files -2
Request Description OK, could use more info -1

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Projects

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Development

Successfully merging this pull request may close these issues.

4 participants

@jordancorser@SiyuLiu0329@shakes76@LinfengLiu98
, '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 - #440

Open
jordancorser wants to merge 19 commits into
shakes76:topic-recognitionfrom
jordancorser:topic-recognition
Open

Topic recognition#440
jordancorser wants to merge 19 commits into
shakes76:topic-recognitionfrom
jordancorser:topic-recognition

Conversation

@jordancorser

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Keras implementation of the VQ-VAE algorithm, using a PixelCNN to provide generative capacity. Trained to operate on the OASIS dataset, with SSIM of approx. 0.9 for all tested images.

…tent space size, adjusted epochs and implemented plotting of training losses and of the latent space for test images.
…ng to train new models, copied an open-source PixelCNN implementation - yet to optimise or adjust
…ll input sizes, however cannot be trained on the full train set
…ision. Trained PixelCNN, but sampling is unimplemented
@SiyuLiu0329

Copy link
Copy Markdown
Collaborator

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

  • commit messages: OK
  • reconstruction: OK
  • image gen: OK
  • code commenting: OK

@shakes76

Copy link
Copy Markdown
Owner

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

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

Recognition Problem

Solves problem (poor generations) -1
Driver Script present
File structure present
Shows Usage & Demo & Visualisation & Data usage
Module present
Commenting
No Data leakage
Difficulty: Hard

Commit Log

Meaningful commit messages
Progressive commits used

Documentation

ReadMe acceptable/good
Good Description and Comments
Markdown used PDF submitted

Pull Request

Successful Pull Request (Working Algorithm Delivered on Time in Correct Branch)
Feedback required, remove model weights and checkpoints. Undo changes to other students files -2
Request Description OK, could use more info -1

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4 participants

@jordancorser@SiyuLiu0329@shakes76@LinfengLiu98