Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
7 changes: 4 additions & 3 deletions ROADMAP.md
Original file line numberDiff line numberDiff line change
Expand Up@@ -23,11 +23,12 @@ In the meanwhile, we are looking for contributions. An easy place to start is t
* Native Binary high-performance format

### Featurization Improvements
We already provide text/NLP and image processing functionnalities that will be expanded
* Text (*)
* Natural language text preprocessing such as tokenization, part-of-speech tagging, and sentence breaking
* Pre-trained text models that can be used for extracting of semantic or sentiment features from text
* Natural language text preprocessing such as improving tokenization features, adding part-of-speech tagging, and sentence boundary disambiguation
* Pre-trained text models (beyond current n-gram and pre-trained WordEmbedding text handling) that can further improve the extraction of semantic or sentiment features from text
* Image (*)
* Image preprocessing such as loading, resizing, and normalization if images
* Image preprocessing such as loading, resizing, and normalization of images
* Image featurization, including industry-standard pre-trained ImageNet neural models, such as ResNet and AlexNet

### Trained Model Management
Expand Down
, '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
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
7 changes: 4 additions & 3 deletions ROADMAP.md
Original file line numberDiff line numberDiff line change
Expand Up@@ -23,11 +23,12 @@ In the meanwhile, we are looking for contributions. An easy place to start is t
* Native Binary high-performance format

### Featurization Improvements
We already provide text/NLP and image processing functionnalities that will be expanded
* Text (*)
* Natural language text preprocessing such as tokenization, part-of-speech tagging, and sentence breaking
* Pre-trained text models that can be used for extracting of semantic or sentiment features from text
* Natural language text preprocessing such as improving tokenization features, adding part-of-speech tagging, and sentence boundary disambiguation
* Pre-trained text models (beyond current n-gram and pre-trained WordEmbedding text handling) that can further improve the extraction of semantic or sentiment features from text
* Image (*)
* Image preprocessing such as loading, resizing, and normalization if images
* Image preprocessing such as loading, resizing, and normalization of images
* Image featurization, including industry-standard pre-trained ImageNet neural models, such as ResNet and AlexNet

### Trained Model Management
Expand Down
, '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
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
7 changes: 4 additions & 3 deletions ROADMAP.md
Original file line numberDiff line numberDiff line change
Expand Up@@ -23,11 +23,12 @@ In the meanwhile, we are looking for contributions. An easy place to start is t
* Native Binary high-performance format

### Featurization Improvements
We already provide text/NLP and image processing functionnalities that will be expanded
* Text (*)
* Natural language text preprocessing such as tokenization, part-of-speech tagging, and sentence breaking
* Pre-trained text models that can be used for extracting of semantic or sentiment features from text
* Natural language text preprocessing such as improving tokenization features, adding part-of-speech tagging, and sentence boundary disambiguation
* Pre-trained text models (beyond current n-gram and pre-trained WordEmbedding text handling) that can further improve the extraction of semantic or sentiment features from text
* Image (*)
* Image preprocessing such as loading, resizing, and normalization if images
* Image preprocessing such as loading, resizing, and normalization of images
* Image featurization, including industry-standard pre-trained ImageNet neural models, such as ResNet and AlexNet

### Trained Model Management
Expand Down
, '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
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
7 changes: 4 additions & 3 deletions ROADMAP.md
Original file line numberDiff line numberDiff line change
Expand Up@@ -23,11 +23,12 @@ In the meanwhile, we are looking for contributions. An easy place to start is t
* Native Binary high-performance format

### Featurization Improvements
We already provide text/NLP and image processing functionnalities that will be expanded
* Text (*)
* Natural language text preprocessing such as tokenization, part-of-speech tagging, and sentence breaking
* Pre-trained text models that can be used for extracting of semantic or sentiment features from text
* Natural language text preprocessing such as improving tokenization features, adding part-of-speech tagging, and sentence boundary disambiguation
* Pre-trained text models (beyond current n-gram and pre-trained WordEmbedding text handling) that can further improve the extraction of semantic or sentiment features from text
* Image (*)
* Image preprocessing such as loading, resizing, and normalization if images
* Image preprocessing such as loading, resizing, and normalization of images
* Image featurization, including industry-standard pre-trained ImageNet neural models, such as ResNet and AlexNet

### Trained Model Management
Expand Down
, '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
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
7 changes: 4 additions & 3 deletions ROADMAP.md
Original file line numberDiff line numberDiff line change
Expand Up@@ -23,11 +23,12 @@ In the meanwhile, we are looking for contributions. An easy place to start is t
* Native Binary high-performance format

### Featurization Improvements
We already provide text/NLP and image processing functionnalities that will be expanded
* Text (*)
* Natural language text preprocessing such as tokenization, part-of-speech tagging, and sentence breaking
* Pre-trained text models that can be used for extracting of semantic or sentiment features from text
* Natural language text preprocessing such as improving tokenization features, adding part-of-speech tagging, and sentence boundary disambiguation
* Pre-trained text models (beyond current n-gram and pre-trained WordEmbedding text handling) that can further improve the extraction of semantic or sentiment features from text
* Image (*)
* Image preprocessing such as loading, resizing, and normalization if images
* Image preprocessing such as loading, resizing, and normalization of images
* Image featurization, including industry-standard pre-trained ImageNet neural models, such as ResNet and AlexNet

### Trained Model Management
Expand Down
, '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
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
7 changes: 4 additions & 3 deletions ROADMAP.md
Original file line numberDiff line numberDiff line change
Expand Up@@ -23,11 +23,12 @@ In the meanwhile, we are looking for contributions. An easy place to start is t
* Native Binary high-performance format

### Featurization Improvements
We already provide text/NLP and image processing functionnalities that will be expanded
* Text (*)
* Natural language text preprocessing such as tokenization, part-of-speech tagging, and sentence breaking
* Pre-trained text models that can be used for extracting of semantic or sentiment features from text
* Natural language text preprocessing such as improving tokenization features, adding part-of-speech tagging, and sentence boundary disambiguation
* Pre-trained text models (beyond current n-gram and pre-trained WordEmbedding text handling) that can further improve the extraction of semantic or sentiment features from text
* Image (*)
* Image preprocessing such as loading, resizing, and normalization if images
* Image preprocessing such as loading, resizing, and normalization of images
* Image featurization, including industry-standard pre-trained ImageNet neural models, such as ResNet and AlexNet

### Trained Model Management
Expand Down
, '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
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
7 changes: 4 additions & 3 deletions ROADMAP.md
Original file line numberDiff line numberDiff line change
Expand Up@@ -23,11 +23,12 @@ In the meanwhile, we are looking for contributions. An easy place to start is t
* Native Binary high-performance format

### Featurization Improvements
We already provide text/NLP and image processing functionnalities that will be expanded
* Text (*)
* Natural language text preprocessing such as tokenization, part-of-speech tagging, and sentence breaking
* Pre-trained text models that can be used for extracting of semantic or sentiment features from text
* Natural language text preprocessing such as improving tokenization features, adding part-of-speech tagging, and sentence boundary disambiguation
* Pre-trained text models (beyond current n-gram and pre-trained WordEmbedding text handling) that can further improve the extraction of semantic or sentiment features from text
* Image (*)
* Image preprocessing such as loading, resizing, and normalization if images
* Image preprocessing such as loading, resizing, and normalization of images
* Image featurization, including industry-standard pre-trained ImageNet neural models, such as ResNet and AlexNet

### Trained Model Management
Expand Down
, '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
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
7 changes: 4 additions & 3 deletions ROADMAP.md
Original file line numberDiff line numberDiff line change
Expand Up@@ -23,11 +23,12 @@ In the meanwhile, we are looking for contributions. An easy place to start is t
* Native Binary high-performance format

### Featurization Improvements
We already provide text/NLP and image processing functionnalities that will be expanded
* Text (*)
* Natural language text preprocessing such as tokenization, part-of-speech tagging, and sentence breaking
* Pre-trained text models that can be used for extracting of semantic or sentiment features from text
* Natural language text preprocessing such as improving tokenization features, adding part-of-speech tagging, and sentence boundary disambiguation
* Pre-trained text models (beyond current n-gram and pre-trained WordEmbedding text handling) that can further improve the extraction of semantic or sentiment features from text
* Image (*)
* Image preprocessing such as loading, resizing, and normalization if images
* Image preprocessing such as loading, resizing, and normalization of images
* Image featurization, including industry-standard pre-trained ImageNet neural models, such as ResNet and AlexNet

### Trained Model Management
Expand Down