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    1. VAEVAEPublic

      A fast & flexible implementation of Variational Autoencoders using PyTorch

      Python 1

    2. NERNERPublic

      Named Entity Recognition using Continuous Word Embeddings with a biLSTM-CRF hybrid model, in PyTorch. Provides a fully vectorized implementation of linear chain CRFs.

      Python

    3. RL-CarGameAIRL-CarGameAIPublic

      A Reinforcement Learning car game AI

      Python 3

    4. Cifar_ResNetCifar_ResNetPublic

      Implementation of ResNet, and a myraid of Normalization layers, in PyTorch

      Python

    5. gmmgmmPublic

      Implementation of GMMs optimized with the EM algorithm

      Python

    6. SudokuAISudokuAIPublic

      Implements Hill Climb

      C++

    , '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" + '

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      1. VAEVAEPublic
        
A fast & flexible implementation of Variational Autoencoders using PyTorch

        Python
1

      2. NERNERPublic
        
Named Entity Recognition using Continuous Word Embeddings with a biLSTM-CRF hybrid model, in PyTorch. Provides a fully vectorized implementation of linear chain CRFs.

        Python
      3. RL-CarGameAIRL-CarGameAIPublic
        
A Reinforcement Learning car game AI

        Python
3

      4. Cifar_ResNetCifar_ResNetPublic
        
Implementation of ResNet, and a myraid of Normalization layers, in PyTorch

        Python
      5. gmmgmmPublic
        
Implementation of GMMs optimized with the EM algorithm

        Python
      6. SudokuAISudokuAIPublic
        
Implements Hill Climb

        C++
      
, '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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Pinned
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        1. VAEVAEPublic
          
A fast & flexible implementation of Variational Autoencoders using PyTorch

          Python
1

        2. NERNERPublic
          
Named Entity Recognition using Continuous Word Embeddings with a biLSTM-CRF hybrid model, in PyTorch. Provides a fully vectorized implementation of linear chain CRFs.

          Python
        3. RL-CarGameAIRL-CarGameAIPublic
          
A Reinforcement Learning car game AI

          Python
3

        4. Cifar_ResNetCifar_ResNetPublic
          
Implementation of ResNet, and a myraid of Normalization layers, in PyTorch

          Python
        5. gmmgmmPublic
          
Implementation of GMMs optimized with the EM algorithm

          Python
        6. SudokuAISudokuAIPublic
          
Implements Hill Climb

          C++
        
, '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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Pinned
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          1. VAEVAEPublic
            
A fast & flexible implementation of Variational Autoencoders using PyTorch

            Python
1

          2. NERNERPublic
            
Named Entity Recognition using Continuous Word Embeddings with a biLSTM-CRF hybrid model, in PyTorch. Provides a fully vectorized implementation of linear chain CRFs.

            Python
          3. RL-CarGameAIRL-CarGameAIPublic
            
A Reinforcement Learning car game AI

            Python
3

          4. Cifar_ResNetCifar_ResNetPublic
            
Implementation of ResNet, and a myraid of Normalization layers, in PyTorch

            Python
          5. gmmgmmPublic
            
Implementation of GMMs optimized with the EM algorithm

            Python
          6. SudokuAISudokuAIPublic
            
Implements Hill Climb

            C++
          
, '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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Content in all repositories owned by your account will be closed.

            
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

            Report abuse
            
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Learn more about reporting abuse.

            Report abuse
            
Pinned
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            1. VAEVAEPublic
              
A fast & flexible implementation of Variational Autoencoders using PyTorch

              Python
1

            2. NERNERPublic
              
Named Entity Recognition using Continuous Word Embeddings with a biLSTM-CRF hybrid model, in PyTorch. Provides a fully vectorized implementation of linear chain CRFs.

              Python
            3. RL-CarGameAIRL-CarGameAIPublic
              
A Reinforcement Learning car game AI

              Python
3

            4. Cifar_ResNetCifar_ResNetPublic
              
Implementation of ResNet, and a myraid of Normalization layers, in PyTorch

              Python
            5. gmmgmmPublic
              
Implementation of GMMs optimized with the EM algorithm

              Python
            6. SudokuAISudokuAIPublic
              
Implements Hill Climb

              C++
            
, '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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Pinned
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              1. VAEVAEPublic
                
A fast & flexible implementation of Variational Autoencoders using PyTorch

                Python
1

              2. NERNERPublic
                
Named Entity Recognition using Continuous Word Embeddings with a biLSTM-CRF hybrid model, in PyTorch. Provides a fully vectorized implementation of linear chain CRFs.

                Python
              3. RL-CarGameAIRL-CarGameAIPublic
                
A Reinforcement Learning car game AI

                Python
3

              4. Cifar_ResNetCifar_ResNetPublic
                
Implementation of ResNet, and a myraid of Normalization layers, in PyTorch

                Python
              5. gmmgmmPublic
                
Implementation of GMMs optimized with the EM algorithm

                Python
              6. SudokuAISudokuAIPublic
                
Implements Hill Climb

                C++
              
, '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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Pinned
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                1. VAEVAEPublic
                  
A fast & flexible implementation of Variational Autoencoders using PyTorch

                  Python
1

                2. NERNERPublic
                  
Named Entity Recognition using Continuous Word Embeddings with a biLSTM-CRF hybrid model, in PyTorch. Provides a fully vectorized implementation of linear chain CRFs.

                  Python
                3. RL-CarGameAIRL-CarGameAIPublic
                  
A Reinforcement Learning car game AI

                  Python
3

                4. Cifar_ResNetCifar_ResNetPublic
                  
Implementation of ResNet, and a myraid of Normalization layers, in PyTorch

                  Python
                5. gmmgmmPublic
                  
Implementation of GMMs optimized with the EM algorithm

                  Python
                6. SudokuAISudokuAIPublic
                  
Implements Hill Climb

                  C++
                
, '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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Pinned
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                  1. VAEVAEPublic
                    
A fast & flexible implementation of Variational Autoencoders using PyTorch

                    Python
1

                  2. NERNERPublic
                    
Named Entity Recognition using Continuous Word Embeddings with a biLSTM-CRF hybrid model, in PyTorch. Provides a fully vectorized implementation of linear chain CRFs.

                    Python
                  3. RL-CarGameAIRL-CarGameAIPublic
                    
A Reinforcement Learning car game AI

                    Python
3

                  4. Cifar_ResNetCifar_ResNetPublic
                    
Implementation of ResNet, and a myraid of Normalization layers, in PyTorch

                    Python
                  5. gmmgmmPublic
                    
Implementation of GMMs optimized with the EM algorithm

                    Python
                  6. SudokuAISudokuAIPublic
                    
Implements Hill Climb

                    C++