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Angery at kapitalizmus
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Angery at kapitalizmus
50 followers · 16 following
  • Center for Humanities Computing
  • Aarhus, Denmark

Achievements

Achievement: Starstruckx2Achievement: Pair Extraordinairex3Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO

Achievements

Achievement: Starstruckx2Achievement: Pair Extraordinairex3Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO

Organizations

@centre-for-humanities-computing

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x-tabdeveloping/README.md

Márton Kardos

Full time Idiot 💪

Interests:

  • Data Science 📊, NLP 💬
  • Model interpretability and visualization 🎨
  • Optimization, and speed ⚡
  • Bayesian modelling 📚
  • Drums 🎵

Projects:

TurftopicEasy topic modeling with transformer models.
topicwizardInterpret your topic models in a full-fledged interactive framework.
tweetopicBlazing Fast implementations of short-text topic models.
stormtrooperZero and few shot learning with Large Language Models
embedding-explorerInteractively explore your embeddings with semantic graphs and clustering.
neofuzzBlazing fast fuzzy and semantic text search with the power of machine learning.
OdyCyGeneral Purpose NLP pipelines for Ancient Greek
glovpyBlazing fast GloVe interface for Python wrapping the original C implementation.

Contributions:

MTEBCoathur of MMTEB, part of the managing team, main developer of the multilingual leaderboard
embetterAdded scikit-learn compatible Gensim encoder models.

Pinned Loading

  1. topicwizardtopicwizardPublic

    Powerful topic model visualization in Python

    Python 148 17

  2. turftopicturftopicPublic

    Robust and fast topic models with sentence-transformers.

    Python 120 9

  3. centre-for-humanities-computing/tweetopiccentre-for-humanities-computing/tweetopicPublic

    Blazing fast topic modelling for short texts.

    Python 37 4

  4. centre-for-humanities-computing/stormtroopercentre-for-humanities-computing/stormtrooperPublic

    Zero/few shot learning components for scikit-learn pipelines with LLMs and transformers.

    Python 19 2

  5. neofuzzneofuzzPublic

    Blazing fast fuzzy text search for Python.

    Python 52 6

  6. centre-for-humanities-computing/embedding-explorercentre-for-humanities-computing/embedding-explorerPublic

    Tools for interactive visual exploration of semantic embeddings.

    Python 49 11

, '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
View x-tabdeveloping's full-sized avatar
😠
Angery at kapitalizmus
😠
Angery at kapitalizmus
50
followers
 · 16
following

  • Center for Humanities Computing
  • Aarhus, Denmark
Achievements
Achievement: Starstruckx2Achievement: Pair Extraordinairex3Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO
Achievements
Achievement: Starstruckx2Achievement: Pair Extraordinairex3Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO
Organizations
@centre-for-humanities-computing

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x-tabdeveloping/README.md
Márton Kardos
Full time Idiot 💪
Interests:
  • Data Science 📊, NLP 💬
  • Model interpretability and visualization 🎨
  • Optimization, and speed ⚡
  • Bayesian modelling 📚
  • Drums 🎵
Projects:
TurftopicEasy topic modeling with transformer models.
topicwizardInterpret your topic models in a full-fledged interactive framework.
tweetopicBlazing Fast implementations of short-text topic models.
stormtrooperZero and few shot learning with Large Language Models
embedding-explorerInteractively explore your embeddings with semantic graphs and clustering.
neofuzzBlazing fast fuzzy and semantic text search with the power of machine learning.
OdyCyGeneral Purpose NLP pipelines for Ancient Greek
glovpyBlazing fast GloVe interface for Python wrapping the original C implementation.
Contributions:
MTEBCoathur of MMTEB, part of the managing team, main developer of the multilingual leaderboard
embetterAdded scikit-learn compatible Gensim encoder models.

Pinned
Loading
  1. topicwizardtopicwizardPublic
    
Powerful topic model visualization in Python

    Python
148

17

  2. turftopicturftopicPublic
    
Robust and fast topic models with sentence-transformers.

    Python
120

9

  3. centre-for-humanities-computing/tweetopiccentre-for-humanities-computing/tweetopicPublic
    
Blazing fast topic modelling for short texts.

    Python
37

4

  4. centre-for-humanities-computing/stormtroopercentre-for-humanities-computing/stormtrooperPublic
    
Zero/few shot learning components for scikit-learn pipelines with LLMs and transformers.

    Python
19

2

  5. neofuzzneofuzzPublic
    
Blazing fast fuzzy text search for Python.

    Python
52

6

  6. centre-for-humanities-computing/embedding-explorercentre-for-humanities-computing/embedding-explorerPublic
    
Tools for interactive visual exploration of semantic embeddings.

    Python
49

11


, '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
View x-tabdeveloping's full-sized avatar
😠
Angery at kapitalizmus
😠
Angery at kapitalizmus
50
followers
 · 16
following

  • Center for Humanities Computing
  • Aarhus, Denmark
Achievements
Achievement: Starstruckx2Achievement: Pair Extraordinairex3Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO
Achievements
Achievement: Starstruckx2Achievement: Pair Extraordinairex3Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO
Organizations
@centre-for-humanities-computing

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x-tabdeveloping/README.md
Márton Kardos
Full time Idiot 💪
Interests:
  • Data Science 📊, NLP 💬
  • Model interpretability and visualization 🎨
  • Optimization, and speed ⚡
  • Bayesian modelling 📚
  • Drums 🎵
Projects:
TurftopicEasy topic modeling with transformer models.
topicwizardInterpret your topic models in a full-fledged interactive framework.
tweetopicBlazing Fast implementations of short-text topic models.
stormtrooperZero and few shot learning with Large Language Models
embedding-explorerInteractively explore your embeddings with semantic graphs and clustering.
neofuzzBlazing fast fuzzy and semantic text search with the power of machine learning.
OdyCyGeneral Purpose NLP pipelines for Ancient Greek
glovpyBlazing fast GloVe interface for Python wrapping the original C implementation.
Contributions:
MTEBCoathur of MMTEB, part of the managing team, main developer of the multilingual leaderboard
embetterAdded scikit-learn compatible Gensim encoder models.

Pinned
Loading
  1. topicwizardtopicwizardPublic
    
Powerful topic model visualization in Python

    Python
148

17

  2. turftopicturftopicPublic
    
Robust and fast topic models with sentence-transformers.

    Python
120

9

  3. centre-for-humanities-computing/tweetopiccentre-for-humanities-computing/tweetopicPublic
    
Blazing fast topic modelling for short texts.

    Python
37

4

  4. centre-for-humanities-computing/stormtroopercentre-for-humanities-computing/stormtrooperPublic
    
Zero/few shot learning components for scikit-learn pipelines with LLMs and transformers.

    Python
19

2

  5. neofuzzneofuzzPublic
    
Blazing fast fuzzy text search for Python.

    Python
52

6

  6. centre-for-humanities-computing/embedding-explorercentre-for-humanities-computing/embedding-explorerPublic
    
Tools for interactive visual exploration of semantic embeddings.

    Python
49

11


, '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
View x-tabdeveloping's full-sized avatar
😠
Angery at kapitalizmus
😠
Angery at kapitalizmus
50
followers
 · 16
following

  • Center for Humanities Computing
  • Aarhus, Denmark
Achievements
Achievement: Starstruckx2Achievement: Pair Extraordinairex3Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO
Achievements
Achievement: Starstruckx2Achievement: Pair Extraordinairex3Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO
Organizations
@centre-for-humanities-computing

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x-tabdeveloping/README.md
Márton Kardos
Full time Idiot 💪
Interests:
  • Data Science 📊, NLP 💬
  • Model interpretability and visualization 🎨
  • Optimization, and speed ⚡
  • Bayesian modelling 📚
  • Drums 🎵
Projects:
TurftopicEasy topic modeling with transformer models.
topicwizardInterpret your topic models in a full-fledged interactive framework.
tweetopicBlazing Fast implementations of short-text topic models.
stormtrooperZero and few shot learning with Large Language Models
embedding-explorerInteractively explore your embeddings with semantic graphs and clustering.
neofuzzBlazing fast fuzzy and semantic text search with the power of machine learning.
OdyCyGeneral Purpose NLP pipelines for Ancient Greek
glovpyBlazing fast GloVe interface for Python wrapping the original C implementation.
Contributions:
MTEBCoathur of MMTEB, part of the managing team, main developer of the multilingual leaderboard
embetterAdded scikit-learn compatible Gensim encoder models.

Pinned
Loading
  1. topicwizardtopicwizardPublic
    
Powerful topic model visualization in Python

    Python
148

17

  2. turftopicturftopicPublic
    
Robust and fast topic models with sentence-transformers.

    Python
120

9

  3. centre-for-humanities-computing/tweetopiccentre-for-humanities-computing/tweetopicPublic
    
Blazing fast topic modelling for short texts.

    Python
37

4

  4. centre-for-humanities-computing/stormtroopercentre-for-humanities-computing/stormtrooperPublic
    
Zero/few shot learning components for scikit-learn pipelines with LLMs and transformers.

    Python
19

2

  5. neofuzzneofuzzPublic
    
Blazing fast fuzzy text search for Python.

    Python
52

6

  6. centre-for-humanities-computing/embedding-explorercentre-for-humanities-computing/embedding-explorerPublic
    
Tools for interactive visual exploration of semantic embeddings.

    Python
49

11


, '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
View x-tabdeveloping's full-sized avatar
😠
Angery at kapitalizmus
😠
Angery at kapitalizmus
50
followers
 · 16
following

  • Center for Humanities Computing
  • Aarhus, Denmark
Achievements
Achievement: Starstruckx2Achievement: Pair Extraordinairex3Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO
Achievements
Achievement: Starstruckx2Achievement: Pair Extraordinairex3Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO
Organizations
@centre-for-humanities-computing

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x-tabdeveloping/README.md
Márton Kardos
Full time Idiot 💪
Interests:
  • Data Science 📊, NLP 💬
  • Model interpretability and visualization 🎨
  • Optimization, and speed ⚡
  • Bayesian modelling 📚
  • Drums 🎵
Projects:
TurftopicEasy topic modeling with transformer models.
topicwizardInterpret your topic models in a full-fledged interactive framework.
tweetopicBlazing Fast implementations of short-text topic models.
stormtrooperZero and few shot learning with Large Language Models
embedding-explorerInteractively explore your embeddings with semantic graphs and clustering.
neofuzzBlazing fast fuzzy and semantic text search with the power of machine learning.
OdyCyGeneral Purpose NLP pipelines for Ancient Greek
glovpyBlazing fast GloVe interface for Python wrapping the original C implementation.
Contributions:
MTEBCoathur of MMTEB, part of the managing team, main developer of the multilingual leaderboard
embetterAdded scikit-learn compatible Gensim encoder models.

Pinned
Loading
  1. topicwizardtopicwizardPublic
    
Powerful topic model visualization in Python

    Python
148

17

  2. turftopicturftopicPublic
    
Robust and fast topic models with sentence-transformers.

    Python
120

9

  3. centre-for-humanities-computing/tweetopiccentre-for-humanities-computing/tweetopicPublic
    
Blazing fast topic modelling for short texts.

    Python
37

4

  4. centre-for-humanities-computing/stormtroopercentre-for-humanities-computing/stormtrooperPublic
    
Zero/few shot learning components for scikit-learn pipelines with LLMs and transformers.

    Python
19

2

  5. neofuzzneofuzzPublic
    
Blazing fast fuzzy text search for Python.

    Python
52

6

  6. centre-for-humanities-computing/embedding-explorercentre-for-humanities-computing/embedding-explorerPublic
    
Tools for interactive visual exploration of semantic embeddings.

    Python
49

11


, '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
View x-tabdeveloping's full-sized avatar
😠
Angery at kapitalizmus
😠
Angery at kapitalizmus
50
followers
 · 16
following

  • Center for Humanities Computing
  • Aarhus, Denmark
Achievements
Achievement: Starstruckx2Achievement: Pair Extraordinairex3Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO
Achievements
Achievement: Starstruckx2Achievement: Pair Extraordinairex3Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO
Organizations
@centre-for-humanities-computing

Block or report x-tabdeveloping

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x-tabdeveloping/README.md
Márton Kardos
Full time Idiot 💪
Interests:
  • Data Science 📊, NLP 💬
  • Model interpretability and visualization 🎨
  • Optimization, and speed ⚡
  • Bayesian modelling 📚
  • Drums 🎵
Projects:
TurftopicEasy topic modeling with transformer models.
topicwizardInterpret your topic models in a full-fledged interactive framework.
tweetopicBlazing Fast implementations of short-text topic models.
stormtrooperZero and few shot learning with Large Language Models
embedding-explorerInteractively explore your embeddings with semantic graphs and clustering.
neofuzzBlazing fast fuzzy and semantic text search with the power of machine learning.
OdyCyGeneral Purpose NLP pipelines for Ancient Greek
glovpyBlazing fast GloVe interface for Python wrapping the original C implementation.
Contributions:
MTEBCoathur of MMTEB, part of the managing team, main developer of the multilingual leaderboard
embetterAdded scikit-learn compatible Gensim encoder models.

Pinned
Loading
  1. topicwizardtopicwizardPublic
    
Powerful topic model visualization in Python

    Python
148

17

  2. turftopicturftopicPublic
    
Robust and fast topic models with sentence-transformers.

    Python
120

9

  3. centre-for-humanities-computing/tweetopiccentre-for-humanities-computing/tweetopicPublic
    
Blazing fast topic modelling for short texts.

    Python
37

4

  4. centre-for-humanities-computing/stormtroopercentre-for-humanities-computing/stormtrooperPublic
    
Zero/few shot learning components for scikit-learn pipelines with LLMs and transformers.

    Python
19

2

  5. neofuzzneofuzzPublic
    
Blazing fast fuzzy text search for Python.

    Python
52

6

  6. centre-for-humanities-computing/embedding-explorercentre-for-humanities-computing/embedding-explorerPublic
    
Tools for interactive visual exploration of semantic embeddings.

    Python
49

11


, '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
View x-tabdeveloping's full-sized avatar
😠
Angery at kapitalizmus
😠
Angery at kapitalizmus
50
followers
 · 16
following

  • Center for Humanities Computing
  • Aarhus, Denmark
Achievements
Achievement: Starstruckx2Achievement: Pair Extraordinairex3Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO
Achievements
Achievement: Starstruckx2Achievement: Pair Extraordinairex3Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO
Organizations
@centre-for-humanities-computing

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x-tabdeveloping/README.md
Márton Kardos
Full time Idiot 💪
Interests:
  • Data Science 📊, NLP 💬
  • Model interpretability and visualization 🎨
  • Optimization, and speed ⚡
  • Bayesian modelling 📚
  • Drums 🎵
Projects:
TurftopicEasy topic modeling with transformer models.
topicwizardInterpret your topic models in a full-fledged interactive framework.
tweetopicBlazing Fast implementations of short-text topic models.
stormtrooperZero and few shot learning with Large Language Models
embedding-explorerInteractively explore your embeddings with semantic graphs and clustering.
neofuzzBlazing fast fuzzy and semantic text search with the power of machine learning.
OdyCyGeneral Purpose NLP pipelines for Ancient Greek
glovpyBlazing fast GloVe interface for Python wrapping the original C implementation.
Contributions:
MTEBCoathur of MMTEB, part of the managing team, main developer of the multilingual leaderboard
embetterAdded scikit-learn compatible Gensim encoder models.

Pinned
Loading
  1. topicwizardtopicwizardPublic
    
Powerful topic model visualization in Python

    Python
148

17

  2. turftopicturftopicPublic
    
Robust and fast topic models with sentence-transformers.

    Python
120

9

  3. centre-for-humanities-computing/tweetopiccentre-for-humanities-computing/tweetopicPublic
    
Blazing fast topic modelling for short texts.

    Python
37

4

  4. centre-for-humanities-computing/stormtroopercentre-for-humanities-computing/stormtrooperPublic
    
Zero/few shot learning components for scikit-learn pipelines with LLMs and transformers.

    Python
19

2

  5. neofuzzneofuzzPublic
    
Blazing fast fuzzy text search for Python.

    Python
52

6

  6. centre-for-humanities-computing/embedding-explorercentre-for-humanities-computing/embedding-explorerPublic
    
Tools for interactive visual exploration of semantic embeddings.

    Python
49

11


, '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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following

  • Center for Humanities Computing
  • Aarhus, Denmark
Achievements
Achievement: Starstruckx2Achievement: Pair Extraordinairex3Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO
Achievements
Achievement: Starstruckx2Achievement: Pair Extraordinairex3Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO
Organizations
@centre-for-humanities-computing

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x-tabdeveloping/README.md
Márton Kardos
Full time Idiot 💪
Interests:
  • Data Science 📊, NLP 💬
  • Model interpretability and visualization 🎨
  • Optimization, and speed ⚡
  • Bayesian modelling 📚
  • Drums 🎵
Projects:
TurftopicEasy topic modeling with transformer models.
topicwizardInterpret your topic models in a full-fledged interactive framework.
tweetopicBlazing Fast implementations of short-text topic models.
stormtrooperZero and few shot learning with Large Language Models
embedding-explorerInteractively explore your embeddings with semantic graphs and clustering.
neofuzzBlazing fast fuzzy and semantic text search with the power of machine learning.
OdyCyGeneral Purpose NLP pipelines for Ancient Greek
glovpyBlazing fast GloVe interface for Python wrapping the original C implementation.
Contributions:
MTEBCoathur of MMTEB, part of the managing team, main developer of the multilingual leaderboard
embetterAdded scikit-learn compatible Gensim encoder models.

Pinned
Loading
  1. topicwizardtopicwizardPublic
    
Powerful topic model visualization in Python

    Python
148

17

  2. turftopicturftopicPublic
    
Robust and fast topic models with sentence-transformers.

    Python
120

9

  3. centre-for-humanities-computing/tweetopiccentre-for-humanities-computing/tweetopicPublic
    
Blazing fast topic modelling for short texts.

    Python
37

4

  4. centre-for-humanities-computing/stormtroopercentre-for-humanities-computing/stormtrooperPublic
    
Zero/few shot learning components for scikit-learn pipelines with LLMs and transformers.

    Python
19

2

  5. neofuzzneofuzzPublic
    
Blazing fast fuzzy text search for Python.

    Python
52

6

  6. centre-for-humanities-computing/embedding-explorercentre-for-humanities-computing/embedding-explorerPublic
    
Tools for interactive visual exploration of semantic embeddings.

    Python
49

11