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  1. domain-adapted-atsc domain-adapted-atscPublic

    code for our 2019 paper: "Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification"

    Python 187 47

  2. anls_star_metric anls_star_metricPublic

    Official implementation of the ANLS* metric

    Python 25

  3. greedy-layer-pruning greedy-layer-pruningPublic archive

    Greedy layer pruning for transformer models.

    Python 7 7

  4. BatchBALD BatchBALDPublic archive

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    Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.

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    This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference"

    Python

  6. earnings_calls_NLP earnings_calls_NLPPublic archive

    Forked from alali3030/earnings_calls_NLP

    This repository includes my work on extracting the digital transformation strategy of Fortune 500 companies from earnings calls transcripts

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, '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. domain-adapted-atsc domain-adapted-atscPublic

    code for our 2019 paper: "Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification"

    Python 187 47

  2. anls_star_metric anls_star_metricPublic

    Official implementation of the ANLS* metric

    Python 25

  3. greedy-layer-pruning greedy-layer-pruningPublic archive

    Greedy layer pruning for transformer models.

    Python 7 7

  4. BatchBALD BatchBALDPublic archive

    Forked from BlackHC/BatchBALD

    Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.

    Python

  5. pet petPublic archive

    Forked from timoschick/pet

    This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference"

    Python

  6. earnings_calls_NLP earnings_calls_NLPPublic archive

    Forked from alali3030/earnings_calls_NLP

    This repository includes my work on extracting the digital transformation strategy of Fortune 500 companies from earnings calls transcripts

    Jupyter Notebook

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, '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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  1. domain-adapted-atsc domain-adapted-atscPublic

    code for our 2019 paper: "Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification"

    Python 187 47

  2. anls_star_metric anls_star_metricPublic

    Official implementation of the ANLS* metric

    Python 25

  3. greedy-layer-pruning greedy-layer-pruningPublic archive

    Greedy layer pruning for transformer models.

    Python 7 7

  4. BatchBALD BatchBALDPublic archive

    Forked from BlackHC/BatchBALD

    Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.

    Python

  5. pet petPublic archive

    Forked from timoschick/pet

    This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference"

    Python

  6. earnings_calls_NLP earnings_calls_NLPPublic archive

    Forked from alali3030/earnings_calls_NLP

    This repository includes my work on extracting the digital transformation strategy of Fortune 500 companies from earnings calls transcripts

    Jupyter Notebook

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, '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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  1. domain-adapted-atsc domain-adapted-atscPublic

    code for our 2019 paper: "Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification"

    Python 187 47

  2. anls_star_metric anls_star_metricPublic

    Official implementation of the ANLS* metric

    Python 25

  3. greedy-layer-pruning greedy-layer-pruningPublic archive

    Greedy layer pruning for transformer models.

    Python 7 7

  4. BatchBALD BatchBALDPublic archive

    Forked from BlackHC/BatchBALD

    Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.

    Python

  5. pet petPublic archive

    Forked from timoschick/pet

    This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference"

    Python

  6. earnings_calls_NLP earnings_calls_NLPPublic archive

    Forked from alali3030/earnings_calls_NLP

    This repository includes my work on extracting the digital transformation strategy of Fortune 500 companies from earnings calls transcripts

    Jupyter Notebook

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, '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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  1. domain-adapted-atsc domain-adapted-atscPublic

    code for our 2019 paper: "Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification"

    Python 187 47

  2. anls_star_metric anls_star_metricPublic

    Official implementation of the ANLS* metric

    Python 25

  3. greedy-layer-pruning greedy-layer-pruningPublic archive

    Greedy layer pruning for transformer models.

    Python 7 7

  4. BatchBALD BatchBALDPublic archive

    Forked from BlackHC/BatchBALD

    Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.

    Python

  5. pet petPublic archive

    Forked from timoschick/pet

    This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference"

    Python

  6. earnings_calls_NLP earnings_calls_NLPPublic archive

    Forked from alali3030/earnings_calls_NLP

    This repository includes my work on extracting the digital transformation strategy of Fortune 500 companies from earnings calls transcripts

    Jupyter Notebook

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Showing 10 of 33 repositories

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, '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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  1. domain-adapted-atsc domain-adapted-atscPublic

    code for our 2019 paper: "Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification"

    Python 187 47

  2. anls_star_metric anls_star_metricPublic

    Official implementation of the ANLS* metric

    Python 25

  3. greedy-layer-pruning greedy-layer-pruningPublic archive

    Greedy layer pruning for transformer models.

    Python 7 7

  4. BatchBALD BatchBALDPublic archive

    Forked from BlackHC/BatchBALD

    Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.

    Python

  5. pet petPublic archive

    Forked from timoschick/pet

    This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference"

    Python

  6. earnings_calls_NLP earnings_calls_NLPPublic archive

    Forked from alali3030/earnings_calls_NLP

    This repository includes my work on extracting the digital transformation strategy of Fortune 500 companies from earnings calls transcripts

    Jupyter Notebook

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Showing 10 of 33 repositories

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, '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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  1. domain-adapted-atsc domain-adapted-atscPublic

    code for our 2019 paper: "Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification"

    Python 187 47

  2. anls_star_metric anls_star_metricPublic

    Official implementation of the ANLS* metric

    Python 25

  3. greedy-layer-pruning greedy-layer-pruningPublic archive

    Greedy layer pruning for transformer models.

    Python 7 7

  4. BatchBALD BatchBALDPublic archive

    Forked from BlackHC/BatchBALD

    Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.

    Python

  5. pet petPublic archive

    Forked from timoschick/pet

    This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference"

    Python

  6. earnings_calls_NLP earnings_calls_NLPPublic archive

    Forked from alali3030/earnings_calls_NLP

    This repository includes my work on extracting the digital transformation strategy of Fortune 500 companies from earnings calls transcripts

    Jupyter Notebook

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Showing 10 of 33 repositories

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, '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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  1. domain-adapted-atsc domain-adapted-atscPublic

    code for our 2019 paper: "Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification"

    Python 187 47

  2. anls_star_metric anls_star_metricPublic

    Official implementation of the ANLS* metric

    Python 25

  3. greedy-layer-pruning greedy-layer-pruningPublic archive

    Greedy layer pruning for transformer models.

    Python 7 7

  4. BatchBALD BatchBALDPublic archive

    Forked from BlackHC/BatchBALD

    Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.

    Python

  5. pet petPublic archive

    Forked from timoschick/pet

    This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference"

    Python

  6. earnings_calls_NLP earnings_calls_NLPPublic archive

    Forked from alali3030/earnings_calls_NLP

    This repository includes my work on extracting the digital transformation strategy of Fortune 500 companies from earnings calls transcripts

    Jupyter Notebook

Repositories

Showing 10 of 33 repositories

People

This organization has no public members. You must be a member to see who’s a part of this organization.

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