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szymonrucinski/README.md

Szymon Ruciński

ML Architect | PhD Student at ETH Zürich

Building intelligent systems at the edge — from neural networks to silicon

WebsiteLinkedInYouTube

About

ML Architect and PhD Student at ETH Zürich specializing in AI research, NLP, Computer Vision, and Cloud Infrastructure. Currently focused on AI chips, TinyML, and embedded systems. Linux and macOS enthusiast.

Expertise

DomainFocus Areas
NLPLarge Language Models, Machine Translation, Text-to-Speech, Audio Processing
Computer VisionCNNs, Image Classification & Generation, GANs, Anomaly Detection
Edge AITinyML, AI Accelerators, Hardware-Software Co-design
InfrastructureOperating Systems, Cloud Architecture, DevOps

Tech Stack

Open to collaboration on ML research and edge AI projects

Pinned Loading

  1. plan-doskonalyplan-doskonalyPublic

    React and TypeScript web app 🌩️ for labelling huge images 🖼️ datasets. Learn about movies and cinematography 🎥 while helping to build a huge open-source dataset for CNN 🧠

    TypeScript

  2. image-processingimage-processingPublic

    Classic image-processing algorithms written in C++ (CImg) for a 2019 computer vision course, compiled to WebAssembly and run unchanged in the browser on public-domain photographs.

    C++

  3. good-moodgood-moodPublic

    AlexaNet trained on MEL spectrograms originating from Berlin EmoDB set to recognize speakers emotions

    Jupyter Notebook

  4. graph-convolutional-networksgraph-convolutional-networksPublic

    Train your own GCN model using the latest pytorch-geometric 📉 to solve image classification problem 🧠

    Jupyter Notebook 1

  5. pippi-langpippi-langPublic

    Elegant 📑 text preprocessing pipeline 🚰 available as pip package 🐍 based on scikit-learn pipeline. Combines Transformer and Column Transformer into a single object.

    Python

  6. kahlokahloPublic

    🎨 The Bixby voice assistant using NLP capsule inspired by the legendary Mexican painter Frida Kahlo! 🖼️ Get color inspiration and matching palettes that complement any shade. Try it now and unleash…

    JavaScript

, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all 
 blocks
(function() {
function addCopyButtons() {
document.querySelectorAll('pre code').forEach(function(codeBlock) {
if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;
codeBlock.parentElement.setAttribute('data-copy-added', 'true');
var btn = document.createElement('button');
btn.textContent = 'Copy';
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;';
btn.onmouseover = function() { this.style.opacity = '1'; };
btn.onmouseout = function() { this.style.opacity = '0.7'; };
btn.onclick = function() {
navigator.clipboard.writeText(codeBlock.textContent).then(function() {
btn.textContent = 'Copied!';
setTimeout(function() { btn.textContent = 'Copy'; }, 1500);
});
};
codeBlock.parentElement.style.position = 'relative';
codeBlock.parentElement.appendChild(btn);
});
}
addCopyButtons();
// Re-run on dynamic content
var observer = new MutationObserver(addCopyButtons);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} 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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szymonrucinski/README.md
Szymon Ruciński
ML Architect | PhD Student at ETH Zürich
Building intelligent systems at the edge — from neural networks to silicon
WebsiteLinkedInYouTube
About
ML Architect and PhD Student at ETH Zürich specializing in AI research, NLP, Computer Vision, and Cloud Infrastructure. Currently focused on AI chips, TinyML, and embedded systems. Linux and macOS enthusiast.
Expertise
DomainFocus Areas
NLPLarge Language Models, Machine Translation, Text-to-Speech, Audio Processing
Computer VisionCNNs, Image Classification & Generation, GANs, Anomaly Detection
Edge AITinyML, AI Accelerators, Hardware-Software Co-design
InfrastructureOperating Systems, Cloud Architecture, DevOps
Tech Stack
Open to collaboration on ML research and edge AI projects

Pinned
Loading
  1. plan-doskonalyplan-doskonalyPublic
    
React and TypeScript web app 🌩️ for labelling huge images 🖼️ datasets. Learn about movies and cinematography 🎥 while helping to build a huge open-source dataset for CNN 🧠

    TypeScript
  2. image-processingimage-processingPublic
    
Classic image-processing algorithms written in C++ (CImg) for a 2019 computer vision course, compiled to WebAssembly and run unchanged in the browser on public-domain photographs.

    C++
  3. good-moodgood-moodPublic
    
AlexaNet trained on MEL spectrograms originating from Berlin EmoDB set to recognize speakers emotions

    Jupyter Notebook
  4. graph-convolutional-networksgraph-convolutional-networksPublic
    
Train your own GCN model using the latest pytorch-geometric 📉 to solve image classification problem 🧠

    Jupyter Notebook
1

  5. pippi-langpippi-langPublic
    
Elegant 📑 text preprocessing pipeline 🚰 available as pip package 🐍 based on scikit-learn pipeline. Combines Transformer and Column Transformer into a single object.

    Python
  6. kahlokahloPublic
    
🎨 The Bixby voice assistant using NLP capsule inspired by the legendary Mexican painter Frida Kahlo! 🖼️ Get color inspiration and matching palettes that complement any shade. Try it now and unleash…

    JavaScript

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Force GitHub README to respect dark mode
(function() {
var style = document.createElement('style');
style.textContent = '
.markdown-body {
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; }
.markdown-body img { background: #0d1117; }
.markdown-body blockquote { border-left-color: #8b949e; }
.markdown-body hr { border-color: #30363d; }
';
document.head.appendChild(style);
})();
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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szymonrucinski/README.md
Szymon Ruciński
ML Architect | PhD Student at ETH Zürich
Building intelligent systems at the edge — from neural networks to silicon
WebsiteLinkedInYouTube
About
ML Architect and PhD Student at ETH Zürich specializing in AI research, NLP, Computer Vision, and Cloud Infrastructure. Currently focused on AI chips, TinyML, and embedded systems. Linux and macOS enthusiast.
Expertise
DomainFocus Areas
NLPLarge Language Models, Machine Translation, Text-to-Speech, Audio Processing
Computer VisionCNNs, Image Classification & Generation, GANs, Anomaly Detection
Edge AITinyML, AI Accelerators, Hardware-Software Co-design
InfrastructureOperating Systems, Cloud Architecture, DevOps
Tech Stack
Open to collaboration on ML research and edge AI projects

Pinned
Loading
  1. plan-doskonalyplan-doskonalyPublic
    
React and TypeScript web app 🌩️ for labelling huge images 🖼️ datasets. Learn about movies and cinematography 🎥 while helping to build a huge open-source dataset for CNN 🧠

    TypeScript
  2. image-processingimage-processingPublic
    
Classic image-processing algorithms written in C++ (CImg) for a 2019 computer vision course, compiled to WebAssembly and run unchanged in the browser on public-domain photographs.

    C++
  3. good-moodgood-moodPublic
    
AlexaNet trained on MEL spectrograms originating from Berlin EmoDB set to recognize speakers emotions

    Jupyter Notebook
  4. graph-convolutional-networksgraph-convolutional-networksPublic
    
Train your own GCN model using the latest pytorch-geometric 📉 to solve image classification problem 🧠

    Jupyter Notebook
1

  5. pippi-langpippi-langPublic
    
Elegant 📑 text preprocessing pipeline 🚰 available as pip package 🐍 based on scikit-learn pipeline. Combines Transformer and Column Transformer into a single object.

    Python
  6. kahlokahloPublic
    
🎨 The Bixby voice assistant using NLP capsule inspired by the legendary Mexican painter Frida Kahlo! 🖼️ Get color inspiration and matching palettes that complement any shade. Try it now and unleash…

    JavaScript

, '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; });
}
}
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);
function highlight(node) {
if (node.nodeType === 3) { // text node
var text = node.textContent;
var found = false;
terms.forEach(function(term) {
var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi');
if (regex.test(text)) {
found = true;
var frag = document.createDocumentFragment();
var parts = text.split(regex);
parts.forEach(function(part, i) {
if (i % 2 === 0) {
frag.appendChild(document.createTextNode(part));
} else {
var span = document.createElement('span');
span.className = 'userscript-highlight';
span.textContent = part;
frag.appendChild(span);
}
});
node.parentNode.replaceChild(frag, node);
}
});
} else if (node.nodeType === 1 && node.childNodes) { // element
var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];
if (!skipTags.includes(node.tagName)) {
Array.from(node.childNodes).forEach(highlight);
}
}
}
highlight(document.body);
// Re-highlight on dynamic content
var observer = new MutationObserver(function(mutations) {
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('^' + ".*" + '

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Achievement: Public SponsorAchievement: Pull Sharkx2Achievement: YOLOAchievement: Arctic Code Vault Contributor
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Achievement: Public SponsorAchievement: Pull Sharkx2Achievement: YOLOAchievement: Arctic Code Vault Contributor

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szymonrucinski/README.md
Szymon Ruciński
ML Architect | PhD Student at ETH Zürich
Building intelligent systems at the edge — from neural networks to silicon
WebsiteLinkedInYouTube
About
ML Architect and PhD Student at ETH Zürich specializing in AI research, NLP, Computer Vision, and Cloud Infrastructure. Currently focused on AI chips, TinyML, and embedded systems. Linux and macOS enthusiast.
Expertise
DomainFocus Areas
NLPLarge Language Models, Machine Translation, Text-to-Speech, Audio Processing
Computer VisionCNNs, Image Classification & Generation, GANs, Anomaly Detection
Edge AITinyML, AI Accelerators, Hardware-Software Co-design
InfrastructureOperating Systems, Cloud Architecture, DevOps
Tech Stack
Open to collaboration on ML research and edge AI projects

Pinned
Loading
  1. plan-doskonalyplan-doskonalyPublic
    
React and TypeScript web app 🌩️ for labelling huge images 🖼️ datasets. Learn about movies and cinematography 🎥 while helping to build a huge open-source dataset for CNN 🧠

    TypeScript
  2. image-processingimage-processingPublic
    
Classic image-processing algorithms written in C++ (CImg) for a 2019 computer vision course, compiled to WebAssembly and run unchanged in the browser on public-domain photographs.

    C++
  3. good-moodgood-moodPublic
    
AlexaNet trained on MEL spectrograms originating from Berlin EmoDB set to recognize speakers emotions

    Jupyter Notebook
  4. graph-convolutional-networksgraph-convolutional-networksPublic
    
Train your own GCN model using the latest pytorch-geometric 📉 to solve image classification problem 🧠

    Jupyter Notebook
1

  5. pippi-langpippi-langPublic
    
Elegant 📑 text preprocessing pipeline 🚰 available as pip package 🐍 based on scikit-learn pipeline. Combines Transformer and Column Transformer into a single object.

    Python
  6. kahlokahloPublic
    
🎨 The Bixby voice assistant using NLP capsule inspired by the legendary Mexican painter Frida Kahlo! 🖼️ Get color inspiration and matching palettes that complement any shade. Try it now and unleash…

    JavaScript

, '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" + '

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 · 14
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Achievement: Public SponsorAchievement: Pull Sharkx2Achievement: YOLOAchievement: Arctic Code Vault Contributor
Achievements
Achievement: Public SponsorAchievement: Pull Sharkx2Achievement: YOLOAchievement: Arctic Code Vault Contributor

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szymonrucinski/README.md
Szymon Ruciński
ML Architect | PhD Student at ETH Zürich
Building intelligent systems at the edge — from neural networks to silicon
WebsiteLinkedInYouTube
About
ML Architect and PhD Student at ETH Zürich specializing in AI research, NLP, Computer Vision, and Cloud Infrastructure. Currently focused on AI chips, TinyML, and embedded systems. Linux and macOS enthusiast.
Expertise
DomainFocus Areas
NLPLarge Language Models, Machine Translation, Text-to-Speech, Audio Processing
Computer VisionCNNs, Image Classification & Generation, GANs, Anomaly Detection
Edge AITinyML, AI Accelerators, Hardware-Software Co-design
InfrastructureOperating Systems, Cloud Architecture, DevOps
Tech Stack
Open to collaboration on ML research and edge AI projects

Pinned
Loading
  1. plan-doskonalyplan-doskonalyPublic
    
React and TypeScript web app 🌩️ for labelling huge images 🖼️ datasets. Learn about movies and cinematography 🎥 while helping to build a huge open-source dataset for CNN 🧠

    TypeScript
  2. image-processingimage-processingPublic
    
Classic image-processing algorithms written in C++ (CImg) for a 2019 computer vision course, compiled to WebAssembly and run unchanged in the browser on public-domain photographs.

    C++
  3. good-moodgood-moodPublic
    
AlexaNet trained on MEL spectrograms originating from Berlin EmoDB set to recognize speakers emotions

    Jupyter Notebook
  4. graph-convolutional-networksgraph-convolutional-networksPublic
    
Train your own GCN model using the latest pytorch-geometric 📉 to solve image classification problem 🧠

    Jupyter Notebook
1

  5. pippi-langpippi-langPublic
    
Elegant 📑 text preprocessing pipeline 🚰 available as pip package 🐍 based on scikit-learn pipeline. Combines Transformer and Column Transformer into a single object.

    Python
  6. kahlokahloPublic
    
🎨 The Bixby voice assistant using NLP capsule inspired by the legendary Mexican painter Frida Kahlo! 🖼️ Get color inspiration and matching palettes that complement any shade. Try it now and unleash…

    JavaScript

, '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('^' + ".*" + '

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 · 14
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Achievements
Achievement: Public SponsorAchievement: Pull Sharkx2Achievement: YOLOAchievement: Arctic Code Vault Contributor
Achievements
Achievement: Public SponsorAchievement: Pull Sharkx2Achievement: YOLOAchievement: Arctic Code Vault Contributor

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szymonrucinski/README.md
Szymon Ruciński
ML Architect | PhD Student at ETH Zürich
Building intelligent systems at the edge — from neural networks to silicon
WebsiteLinkedInYouTube
About
ML Architect and PhD Student at ETH Zürich specializing in AI research, NLP, Computer Vision, and Cloud Infrastructure. Currently focused on AI chips, TinyML, and embedded systems. Linux and macOS enthusiast.
Expertise
DomainFocus Areas
NLPLarge Language Models, Machine Translation, Text-to-Speech, Audio Processing
Computer VisionCNNs, Image Classification & Generation, GANs, Anomaly Detection
Edge AITinyML, AI Accelerators, Hardware-Software Co-design
InfrastructureOperating Systems, Cloud Architecture, DevOps
Tech Stack
Open to collaboration on ML research and edge AI projects

Pinned
Loading
  1. plan-doskonalyplan-doskonalyPublic
    
React and TypeScript web app 🌩️ for labelling huge images 🖼️ datasets. Learn about movies and cinematography 🎥 while helping to build a huge open-source dataset for CNN 🧠

    TypeScript
  2. image-processingimage-processingPublic
    
Classic image-processing algorithms written in C++ (CImg) for a 2019 computer vision course, compiled to WebAssembly and run unchanged in the browser on public-domain photographs.

    C++
  3. good-moodgood-moodPublic
    
AlexaNet trained on MEL spectrograms originating from Berlin EmoDB set to recognize speakers emotions

    Jupyter Notebook
  4. graph-convolutional-networksgraph-convolutional-networksPublic
    
Train your own GCN model using the latest pytorch-geometric 📉 to solve image classification problem 🧠

    Jupyter Notebook
1

  5. pippi-langpippi-langPublic
    
Elegant 📑 text preprocessing pipeline 🚰 available as pip package 🐍 based on scikit-learn pipeline. Combines Transformer and Column Transformer into a single object.

    Python
  6. kahlokahloPublic
    
🎨 The Bixby voice assistant using NLP capsule inspired by the legendary Mexican painter Frida Kahlo! 🖼️ Get color inspiration and matching palettes that complement any shade. Try it now and unleash…

    JavaScript

, '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); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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11
followers
 · 14
following

Achievements
Achievement: Public SponsorAchievement: Pull Sharkx2Achievement: YOLOAchievement: Arctic Code Vault Contributor
Achievements
Achievement: Public SponsorAchievement: Pull Sharkx2Achievement: YOLOAchievement: Arctic Code Vault Contributor

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szymonrucinski/README.md
Szymon Ruciński
ML Architect | PhD Student at ETH Zürich
Building intelligent systems at the edge — from neural networks to silicon
WebsiteLinkedInYouTube
About
ML Architect and PhD Student at ETH Zürich specializing in AI research, NLP, Computer Vision, and Cloud Infrastructure. Currently focused on AI chips, TinyML, and embedded systems. Linux and macOS enthusiast.
Expertise
DomainFocus Areas
NLPLarge Language Models, Machine Translation, Text-to-Speech, Audio Processing
Computer VisionCNNs, Image Classification & Generation, GANs, Anomaly Detection
Edge AITinyML, AI Accelerators, Hardware-Software Co-design
InfrastructureOperating Systems, Cloud Architecture, DevOps
Tech Stack
Open to collaboration on ML research and edge AI projects

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Classic image-processing algorithms written in C++ (CImg) for a 2019 computer vision course, compiled to WebAssembly and run unchanged in the browser on public-domain photographs.

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🎨 The Bixby voice assistant using NLP capsule inspired by the legendary Mexican painter Frida Kahlo! 🖼️ Get color inspiration and matching palettes that complement any shade. Try it now and unleash…

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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Universal Dark Mode - works on any site
(function() {
var enabled = true;
function applyDarkMode() {
if (!enabled) return;
// Create style element if it doesn't exist
var style = document.getElementById('universal-dark-mode-style');
if (!style) {
style = document.createElement('style');
style.id = 'universal-dark-mode-style';
document.head.appendChild(style);
}
// Dark mode CSS - inverts colors but preserves images/video
style.textContent = '
/* Invert everything except media */
html {
filter: invert(1) hue-rotate(180deg) !important;
background: #1a1a2e !important;
}
/* Restore images, videos, iframes, canvas */
img, video, iframe, canvas, svg, picture, [style*="background-image"] {
filter: invert(1) hue-rotate(180deg) !important;
}
/* Preserve specific elements that should not be inverted */
.no-dark-mode, .no-dark-mode *,
[data-theme="light"], [data-theme="light"],
.ace_editor, .ace_editor *,
.CodeMirror, .CodeMirror *,
.monaco-editor, .monaco-editor *,
.markdown-body pre, .markdown-body pre *,
.highlight, .highlight *,
pre code, pre code * {
filter: none !important;
}
/* Fix common UI elements */
.modal, .popup, .dropdown-menu, .tooltip, .popover {
filter: invert(1) hue-rotate(180deg) !important;
background: #2d2d44 !important;
border-color: #444 !important;
}
/* Scrollbars */
::-webkit-scrollbar { background: #1a1a2e !important; }
::-webkit-scrollbar-thumb { background: #444 !important; }
::-webkit-scrollbar-thumb:hover { background: #555 !important; }
/* Selection */
::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
';
}
function removeDarkMode() {
var style = document.getElementById('universal-dark-mode-style');
if (style) style.remove();
}
// Toggle with Alt+Shift+D
document.addEventListener('keydown', function(e) {
if (e.altKey && e.shiftKey && e.key === 'D') {
e.preventDefault();
enabled = !enabled;
if (enabled) {
applyDarkMode();
console.log('[Universal Dark Mode] Enabled');
} else {
removeDarkMode();
console.log('[Universal Dark Mode] Disabled');
}
}
});
// Apply on load
applyDarkMode();
// Re-apply on dynamic content
var observer = new MutationObserver(function(mutations) {
if (enabled && !document.getElementById('universal-dark-mode-style')) {
applyDarkMode();
}
});
observer.observe(document.head, { childList: true });
console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
})();
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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szymonrucinski/README.md
Szymon Ruciński
ML Architect | PhD Student at ETH Zürich
Building intelligent systems at the edge — from neural networks to silicon
WebsiteLinkedInYouTube
About
ML Architect and PhD Student at ETH Zürich specializing in AI research, NLP, Computer Vision, and Cloud Infrastructure. Currently focused on AI chips, TinyML, and embedded systems. Linux and macOS enthusiast.
Expertise
DomainFocus Areas
NLPLarge Language Models, Machine Translation, Text-to-Speech, Audio Processing
Computer VisionCNNs, Image Classification & Generation, GANs, Anomaly Detection
Edge AITinyML, AI Accelerators, Hardware-Software Co-design
InfrastructureOperating Systems, Cloud Architecture, DevOps
Tech Stack
Open to collaboration on ML research and edge AI projects

Pinned
Loading
  1. plan-doskonalyplan-doskonalyPublic
    
React and TypeScript web app 🌩️ for labelling huge images 🖼️ datasets. Learn about movies and cinematography 🎥 while helping to build a huge open-source dataset for CNN 🧠

    TypeScript
  2. image-processingimage-processingPublic
    
Classic image-processing algorithms written in C++ (CImg) for a 2019 computer vision course, compiled to WebAssembly and run unchanged in the browser on public-domain photographs.

    C++
  3. good-moodgood-moodPublic
    
AlexaNet trained on MEL spectrograms originating from Berlin EmoDB set to recognize speakers emotions

    Jupyter Notebook
  4. graph-convolutional-networksgraph-convolutional-networksPublic
    
Train your own GCN model using the latest pytorch-geometric 📉 to solve image classification problem 🧠

    Jupyter Notebook
1

  5. pippi-langpippi-langPublic
    
Elegant 📑 text preprocessing pipeline 🚰 available as pip package 🐍 based on scikit-learn pipeline. Combines Transformer and Column Transformer into a single object.

    Python
  6. kahlokahloPublic
    
🎨 The Bixby voice assistant using NLP capsule inspired by the legendary Mexican painter Frida Kahlo! 🖼️ Get color inspiration and matching palettes that complement any shade. Try it now and unleash…

    JavaScript