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Achievement: Pair Extraordinairex2Achievement: QuickdrawAchievement: Starstruckx2Achievement: Pull Sharkx3Achievement: YOLO

Achievements

Achievement: Pair Extraordinairex2Achievement: QuickdrawAchievement: Starstruckx2Achievement: Pull Sharkx3Achievement: YOLO

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tonywu71/README.md

Hi, I'm Tony 👋🏼

I'm a Research Engineer/Scientist based in Paris 🇫🇷

  • 🎓 I studied a MEng CentraleSupélec in Paris-Saclay 🇫🇷 and the MPhil in Machine Learning and Machine Intelligence (MLMI) at the University of Cambridge (Sidney Sussex College) 🇬🇧.
  • 💼 I am currently working at H Company on ultrascaling VLMs for Computer Use agents on 2k+ H100 GPUs and on training infra engineering.
  • 👀 I am one of the main co-author of ColPali, a SOTA multimodal retriever for documents. [arXiv][GitHub]
  • 🔬 Research interests: LLM, Multimodal, Distributed Training, Agents, Information Retrieval, RAG, Speech.

💬 Feel free to reach out to discuss research ideas (mostly active on X)!

Contact: tonywu.ai@outlook.com

GitHubXHugging FaceScholarLinkedIn

Pinned Loading

  1. illuin-tech/colpaliilluin-tech/colpaliPublic

    The code used to train and run inference with the ColVision models, e.g. ColPali, ColQwen2, and ColSmol.

    Python 2.8k 264

  2. hcompai/late-interaction-kernelshcompai/late-interaction-kernelsPublic

    Fused Triton kernels for late-interaction (MaxSim) scoring

    Python 24 2

  3. colpali-cookbookscolpali-cookbooksPublic

    Recipes for learning, fine-tuning, and adapting ColPali to your multimodal RAG use cases. 👨🏻‍🍳

    357 29

  4. illuin-tech/vidore-benchmarkilluin-tech/vidore-benchmarkPublic

    Vision Document Retrieval (ViDoRe): Benchmark. Evaluation code for the ColPali paper.

    Python 278 39

  5. lightonai/pylatelightonai/pylatePublic

    Late Interaction Models Training & Retrieval

    Python 888 95

  6. huggingface/transformershuggingface/transformersPublic

    🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

    Python 165k 34.4k

, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all 
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function addCopyButtons() {
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btn.onmouseover = function() { this.style.opacity = '1'; };
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} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
tonywu71 (Tony Wu) · GitHub
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106
followers
 · 68
following

Achievements
Achievement: Pair Extraordinairex2Achievement: QuickdrawAchievement: Starstruckx2Achievement: Pull Sharkx3Achievement: YOLO
Achievements
Achievement: Pair Extraordinairex2Achievement: QuickdrawAchievement: Starstruckx2Achievement: Pull Sharkx3Achievement: YOLO

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tonywu71/README.md
Hi, I'm Tony 👋🏼
I'm a Research Engineer/Scientist based in Paris 🇫🇷
  • 🎓 I studied a MEng CentraleSupélec in Paris-Saclay 🇫🇷 and the MPhil in Machine Learning and Machine Intelligence (MLMI) at the University of Cambridge (Sidney Sussex College) 🇬🇧.
  • 💼 I am currently working at H Company on ultrascaling VLMs for Computer Use agents on 2k+ H100 GPUs and on training infra engineering.
  • 👀 I am one of the main co-author of ColPali, a SOTA multimodal retriever for documents. [arXiv][GitHub]
  • 🔬 Research interests: LLM, Multimodal, Distributed Training, Agents, Information Retrieval, RAG, Speech.
💬 Feel free to reach out to discuss research ideas (mostly active on X)!
Contact: tonywu.ai@outlook.com
GitHubXHugging FaceScholarLinkedIn

Pinned
Loading
  1. illuin-tech/colpaliilluin-tech/colpaliPublic
    
The code used to train and run inference with the ColVision models, e.g. ColPali, ColQwen2, and ColSmol.

    Python
2.8k

264

  2. hcompai/late-interaction-kernelshcompai/late-interaction-kernelsPublic
    
Fused Triton kernels for late-interaction (MaxSim) scoring

    Python
24

2

  3. colpali-cookbookscolpali-cookbooksPublic
    
Recipes for learning, fine-tuning, and adapting ColPali to your multimodal RAG use cases. 👨🏻‍🍳

    
357

29

  4. illuin-tech/vidore-benchmarkilluin-tech/vidore-benchmarkPublic
    
Vision Document Retrieval (ViDoRe): Benchmark. Evaluation code for the ColPali paper.

    Python
278

39

  5. lightonai/pylatelightonai/pylatePublic
    
Late Interaction Models Training & Retrieval

    Python
888

95

  6. huggingface/transformershuggingface/transformersPublic
    
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. 
    Python
165k

34.4k


, 'i');
if (__m === '*' || __re.test(location.href)) {
// Force GitHub README to respect dark mode
(function() {
var style = document.createElement('style');
style.textContent = '
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color-scheme: dark light;
}
.markdown-body pre { background: #161b22 !important; }
.markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }
.markdown-body table th, .markdown-body table td { border-color: #30363d !important; }
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';
document.head.appendChild(style);
})();
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
tonywu71 (Tony Wu) · GitHub
Skip to content
View tonywu71's full-sized avatar
106
followers
 · 68
following

Achievements
Achievement: Pair Extraordinairex2Achievement: QuickdrawAchievement: Starstruckx2Achievement: Pull Sharkx3Achievement: YOLO
Achievements
Achievement: Pair Extraordinairex2Achievement: QuickdrawAchievement: Starstruckx2Achievement: Pull Sharkx3Achievement: YOLO

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tonywu71/README.md
Hi, I'm Tony 👋🏼
I'm a Research Engineer/Scientist based in Paris 🇫🇷
  • 🎓 I studied a MEng CentraleSupélec in Paris-Saclay 🇫🇷 and the MPhil in Machine Learning and Machine Intelligence (MLMI) at the University of Cambridge (Sidney Sussex College) 🇬🇧.
  • 💼 I am currently working at H Company on ultrascaling VLMs for Computer Use agents on 2k+ H100 GPUs and on training infra engineering.
  • 👀 I am one of the main co-author of ColPali, a SOTA multimodal retriever for documents. [arXiv][GitHub]
  • 🔬 Research interests: LLM, Multimodal, Distributed Training, Agents, Information Retrieval, RAG, Speech.
💬 Feel free to reach out to discuss research ideas (mostly active on X)!
Contact: tonywu.ai@outlook.com
GitHubXHugging FaceScholarLinkedIn

Pinned
Loading
  1. illuin-tech/colpaliilluin-tech/colpaliPublic
    
The code used to train and run inference with the ColVision models, e.g. ColPali, ColQwen2, and ColSmol.

    Python
2.8k

264

  2. hcompai/late-interaction-kernelshcompai/late-interaction-kernelsPublic
    
Fused Triton kernels for late-interaction (MaxSim) scoring

    Python
24

2

  3. colpali-cookbookscolpali-cookbooksPublic
    
Recipes for learning, fine-tuning, and adapting ColPali to your multimodal RAG use cases. 👨🏻‍🍳

    
357

29

  4. illuin-tech/vidore-benchmarkilluin-tech/vidore-benchmarkPublic
    
Vision Document Retrieval (ViDoRe): Benchmark. Evaluation code for the ColPali paper.

    Python
278

39

  5. lightonai/pylatelightonai/pylatePublic
    
Late Interaction Models Training & Retrieval

    Python
888

95

  6. huggingface/transformershuggingface/transformersPublic
    
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. 
    Python
165k

34.4k


, 'i');
if (__m === '*' || __re.test(location.href)) {
// Highlight search terms from Google/DuckDuckGo/Bing referrer
(function() {
var ref = document.referrer;
var terms = [];
if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {
var url = new URL(ref);
var q = url.searchParams.get('q') || url.searchParams.get('p');
if (q) {
terms = q.split(/\s+/).filter(function(t) { return t.length > 2; });
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if (terms.length === 0) return;
var style = document.createElement('style');
style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';
document.head.appendChild(style);
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if (node.nodeType === 3) { // text node
var text = node.textContent;
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terms.forEach(function(term) {
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var frag = document.createDocumentFragment();
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parts.forEach(function(part, i) {
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Array.from(node.childNodes).forEach(highlight);
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highlight(document.body);
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mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1 || node.nodeType === 3) highlight(node);
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
tonywu71 (Tony Wu) · GitHub
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View tonywu71's full-sized avatar
106
followers
 · 68
following

Achievements
Achievement: Pair Extraordinairex2Achievement: QuickdrawAchievement: Starstruckx2Achievement: Pull Sharkx3Achievement: YOLO
Achievements
Achievement: Pair Extraordinairex2Achievement: QuickdrawAchievement: Starstruckx2Achievement: Pull Sharkx3Achievement: YOLO

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tonywu71/README.md
Hi, I'm Tony 👋🏼
I'm a Research Engineer/Scientist based in Paris 🇫🇷
  • 🎓 I studied a MEng CentraleSupélec in Paris-Saclay 🇫🇷 and the MPhil in Machine Learning and Machine Intelligence (MLMI) at the University of Cambridge (Sidney Sussex College) 🇬🇧.
  • 💼 I am currently working at H Company on ultrascaling VLMs for Computer Use agents on 2k+ H100 GPUs and on training infra engineering.
  • 👀 I am one of the main co-author of ColPali, a SOTA multimodal retriever for documents. [arXiv][GitHub]
  • 🔬 Research interests: LLM, Multimodal, Distributed Training, Agents, Information Retrieval, RAG, Speech.
💬 Feel free to reach out to discuss research ideas (mostly active on X)!
Contact: tonywu.ai@outlook.com
GitHubXHugging FaceScholarLinkedIn

Pinned
Loading
  1. illuin-tech/colpaliilluin-tech/colpaliPublic
    
The code used to train and run inference with the ColVision models, e.g. ColPali, ColQwen2, and ColSmol.

    Python
2.8k

264

  2. hcompai/late-interaction-kernelshcompai/late-interaction-kernelsPublic
    
Fused Triton kernels for late-interaction (MaxSim) scoring

    Python
24

2

  3. colpali-cookbookscolpali-cookbooksPublic
    
Recipes for learning, fine-tuning, and adapting ColPali to your multimodal RAG use cases. 👨🏻‍🍳

    
357

29

  4. illuin-tech/vidore-benchmarkilluin-tech/vidore-benchmarkPublic
    
Vision Document Retrieval (ViDoRe): Benchmark. Evaluation code for the ColPali paper.

    Python
278

39

  5. lightonai/pylatelightonai/pylatePublic
    
Late Interaction Models Training & Retrieval

    Python
888

95

  6. huggingface/transformershuggingface/transformersPublic
    
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. 
    Python
165k

34.4k


, 'i');
if (__m === '*' || __re.test(location.href)) {
// Strip utm_, fbclid, gclid, etc. from all links on page
(function() {
var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',
'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',
'ref', 'ref_src', 'source', 'medium', 'campaign'];
function cleanUrl(url) {
try {
var u = new URL(url, window.location.origin);
var changed = false;
trackingParams.forEach(function(p) {
if (u.searchParams.has(p)) {
u.searchParams.delete(p);
changed = true;
}
});
return changed ? u.toString() : url;
} catch (e) {
return url;
}
}
function cleanLinks() {
document.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
cleanLinks();
var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1) {
if (node.tagName === 'A') cleanLinks();
node.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '
tonywu71 (Tony Wu) · GitHub
Skip to content
View tonywu71's full-sized avatar
106
followers
 · 68
following

Achievements
Achievement: Pair Extraordinairex2Achievement: QuickdrawAchievement: Starstruckx2Achievement: Pull Sharkx3Achievement: YOLO
Achievements
Achievement: Pair Extraordinairex2Achievement: QuickdrawAchievement: Starstruckx2Achievement: Pull Sharkx3Achievement: YOLO

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tonywu71/README.md
Hi, I'm Tony 👋🏼
I'm a Research Engineer/Scientist based in Paris 🇫🇷
  • 🎓 I studied a MEng CentraleSupélec in Paris-Saclay 🇫🇷 and the MPhil in Machine Learning and Machine Intelligence (MLMI) at the University of Cambridge (Sidney Sussex College) 🇬🇧.
  • 💼 I am currently working at H Company on ultrascaling VLMs for Computer Use agents on 2k+ H100 GPUs and on training infra engineering.
  • 👀 I am one of the main co-author of ColPali, a SOTA multimodal retriever for documents. [arXiv][GitHub]
  • 🔬 Research interests: LLM, Multimodal, Distributed Training, Agents, Information Retrieval, RAG, Speech.
💬 Feel free to reach out to discuss research ideas (mostly active on X)!
Contact: tonywu.ai@outlook.com
GitHubXHugging FaceScholarLinkedIn

Pinned
Loading
  1. illuin-tech/colpaliilluin-tech/colpaliPublic
    
The code used to train and run inference with the ColVision models, e.g. ColPali, ColQwen2, and ColSmol.

    Python
2.8k

264

  2. hcompai/late-interaction-kernelshcompai/late-interaction-kernelsPublic
    
Fused Triton kernels for late-interaction (MaxSim) scoring

    Python
24

2

  3. colpali-cookbookscolpali-cookbooksPublic
    
Recipes for learning, fine-tuning, and adapting ColPali to your multimodal RAG use cases. 👨🏻‍🍳

    
357

29

  4. illuin-tech/vidore-benchmarkilluin-tech/vidore-benchmarkPublic
    
Vision Document Retrieval (ViDoRe): Benchmark. Evaluation code for the ColPali paper.

    Python
278

39

  5. lightonai/pylatelightonai/pylatePublic
    
Late Interaction Models Training & Retrieval

    Python
888

95

  6. huggingface/transformershuggingface/transformersPublic
    
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. 
    Python
165k

34.4k


, 'i');
if (__m === '*' || __re.test(location.href)) {
// Auto-enable theater mode on YouTube
(function() {
function tryTheater() {
var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]');
if (btn && !btn.classList.contains('activated')) {
btn.click();
}
}
// Try immediately
tryTheater();
// Try after navigation (SPA)
var lastUrl = location.href;
setInterval(function() {
if (location.href !== lastUrl) {
lastUrl = location.href;
setTimeout(tryTheater, 500);
}
}, 1000);
// Also try on player load
var observer = new MutationObserver(tryTheater);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
tonywu71 (Tony Wu) · GitHub
Skip to content
View tonywu71's full-sized avatar
106
followers
 · 68
following

Achievements
Achievement: Pair Extraordinairex2Achievement: QuickdrawAchievement: Starstruckx2Achievement: Pull Sharkx3Achievement: YOLO
Achievements
Achievement: Pair Extraordinairex2Achievement: QuickdrawAchievement: Starstruckx2Achievement: Pull Sharkx3Achievement: YOLO

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tonywu71/README.md
Hi, I'm Tony 👋🏼
I'm a Research Engineer/Scientist based in Paris 🇫🇷
  • 🎓 I studied a MEng CentraleSupélec in Paris-Saclay 🇫🇷 and the MPhil in Machine Learning and Machine Intelligence (MLMI) at the University of Cambridge (Sidney Sussex College) 🇬🇧.
  • 💼 I am currently working at H Company on ultrascaling VLMs for Computer Use agents on 2k+ H100 GPUs and on training infra engineering.
  • 👀 I am one of the main co-author of ColPali, a SOTA multimodal retriever for documents. [arXiv][GitHub]
  • 🔬 Research interests: LLM, Multimodal, Distributed Training, Agents, Information Retrieval, RAG, Speech.
💬 Feel free to reach out to discuss research ideas (mostly active on X)!
Contact: tonywu.ai@outlook.com
GitHubXHugging FaceScholarLinkedIn

Pinned
Loading
  1. illuin-tech/colpaliilluin-tech/colpaliPublic
    
The code used to train and run inference with the ColVision models, e.g. ColPali, ColQwen2, and ColSmol.

    Python
2.8k

264

  2. hcompai/late-interaction-kernelshcompai/late-interaction-kernelsPublic
    
Fused Triton kernels for late-interaction (MaxSim) scoring

    Python
24

2

  3. colpali-cookbookscolpali-cookbooksPublic
    
Recipes for learning, fine-tuning, and adapting ColPali to your multimodal RAG use cases. 👨🏻‍🍳

    
357

29

  4. illuin-tech/vidore-benchmarkilluin-tech/vidore-benchmarkPublic
    
Vision Document Retrieval (ViDoRe): Benchmark. Evaluation code for the ColPali paper.

    Python
278

39

  5. lightonai/pylatelightonai/pylatePublic
    
Late Interaction Models Training & Retrieval

    Python
888

95

  6. huggingface/transformershuggingface/transformersPublic
    
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. 
    Python
165k

34.4k


, 'i');
if (__m === '*' || __re.test(location.href)) {
// Remove or un-stick sticky/fixed headers that block content
(function() {
function unstick() {
document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) {
if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {
el.style.position = 'static';
el.style.top = 'auto';
el.style.zIndex = 'auto';
}
});
}
unstick();
var observer = new MutationObserver(unstick);
observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });
})();
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
})();
tonywu71 (Tony Wu) · GitHub
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View tonywu71's full-sized avatar
106
followers
 · 68
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tonywu71/README.md
Hi, I'm Tony 👋🏼
I'm a Research Engineer/Scientist based in Paris 🇫🇷
  • 🎓 I studied a MEng CentraleSupélec in Paris-Saclay 🇫🇷 and the MPhil in Machine Learning and Machine Intelligence (MLMI) at the University of Cambridge (Sidney Sussex College) 🇬🇧.
  • 💼 I am currently working at H Company on ultrascaling VLMs for Computer Use agents on 2k+ H100 GPUs and on training infra engineering.
  • 👀 I am one of the main co-author of ColPali, a SOTA multimodal retriever for documents. [arXiv][GitHub]
  • 🔬 Research interests: LLM, Multimodal, Distributed Training, Agents, Information Retrieval, RAG, Speech.
💬 Feel free to reach out to discuss research ideas (mostly active on X)!
Contact: tonywu.ai@outlook.com
GitHubXHugging FaceScholarLinkedIn

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  1. illuin-tech/colpaliilluin-tech/colpaliPublic
    
The code used to train and run inference with the ColVision models, e.g. ColPali, ColQwen2, and ColSmol.

    Python
2.8k

264

  2. hcompai/late-interaction-kernelshcompai/late-interaction-kernelsPublic
    
Fused Triton kernels for late-interaction (MaxSim) scoring

    Python
24

2

  3. colpali-cookbookscolpali-cookbooksPublic
    
Recipes for learning, fine-tuning, and adapting ColPali to your multimodal RAG use cases. 👨🏻‍🍳

    
357

29

  4. illuin-tech/vidore-benchmarkilluin-tech/vidore-benchmarkPublic
    
Vision Document Retrieval (ViDoRe): Benchmark. Evaluation code for the ColPali paper.

    Python
278

39

  5. lightonai/pylatelightonai/pylatePublic
    
Late Interaction Models Training & Retrieval

    Python
888

95

  6. huggingface/transformershuggingface/transformersPublic
    
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. 
    Python
165k

34.4k