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  1. peaktracking peaktrackingPublic

    A Matlab library embedding all methods of interrogation of Fiber Bragg Grating sensors.

    MATLAB 9 1

  2. TimeTable-Generator TimeTable-GeneratorPublic

    TimeTable Generation program in C++

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    Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow t…

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  6. t81_558_deep_learning t81_558_deep_learningPublic

    Forked from jeffheaton/t81_558_deep_learning

    Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

    Jupyter Notebook

, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all 
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(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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  1. 
peaktracking
peaktrackingPublic
    
A Matlab library embedding all methods of interrogation of Fiber Bragg Grating sensors.

    MATLAB
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1

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t81_558_deep_learning
t81_558_deep_learningPublic
    
Forked from jeffheaton/t81_558_deep_learning
    
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

    Jupyter Notebook

, '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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  1. 
peaktracking
peaktrackingPublic
    
A Matlab library embedding all methods of interrogation of Fiber Bragg Grating sensors.

    MATLAB
9

1

  2. 
TimeTable-Generator
TimeTable-GeneratorPublic
    
TimeTable Generation program in C++

    C++
  3. 
Earth-Resistance-Calculator
Earth-Resistance-CalculatorPublic
    
Program and python code development for earth resistance calculation based on different electrodes and dimension and soil characteristics (rod, pipe, and plate), inputs parameters should be flexibl…

  4. 
MineSweeper-Annihilators
MineSweeper-AnnihilatorsPublic
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deep-learning-keras-tf-tutorial
deep-learning-keras-tf-tutorialPublic
    
Forked from codebasics/deep-learning-keras-tf-tutorial
    
Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow t…

    Jupyter Notebook
  6. 
t81_558_deep_learning
t81_558_deep_learningPublic
    
Forked from jeffheaton/t81_558_deep_learning
    
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

    Jupyter Notebook

, '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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  1. 
peaktracking
peaktrackingPublic
    
A Matlab library embedding all methods of interrogation of Fiber Bragg Grating sensors.

    MATLAB
9

1

  2. 
TimeTable-Generator
TimeTable-GeneratorPublic
    
TimeTable Generation program in C++

    C++
  3. 
Earth-Resistance-Calculator
Earth-Resistance-CalculatorPublic
    
Program and python code development for earth resistance calculation based on different electrodes and dimension and soil characteristics (rod, pipe, and plate), inputs parameters should be flexibl…

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MineSweeper-Annihilators
MineSweeper-AnnihilatorsPublic
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deep-learning-keras-tf-tutorial
deep-learning-keras-tf-tutorialPublic
    
Forked from codebasics/deep-learning-keras-tf-tutorial
    
Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow t…

    Jupyter Notebook
  6. 
t81_558_deep_learning
t81_558_deep_learningPublic
    
Forked from jeffheaton/t81_558_deep_learning
    
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

    Jupyter Notebook

, '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" + '
daniyarmussa (Daniyar Mussa) · GitHub
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  1. 
peaktracking
peaktrackingPublic
    
A Matlab library embedding all methods of interrogation of Fiber Bragg Grating sensors.

    MATLAB
9

1

  2. 
TimeTable-Generator
TimeTable-GeneratorPublic
    
TimeTable Generation program in C++

    C++
  3. 
Earth-Resistance-Calculator
Earth-Resistance-CalculatorPublic
    
Program and python code development for earth resistance calculation based on different electrodes and dimension and soil characteristics (rod, pipe, and plate), inputs parameters should be flexibl…

  4. 
MineSweeper-Annihilators
MineSweeper-AnnihilatorsPublic
  5. 
deep-learning-keras-tf-tutorial
deep-learning-keras-tf-tutorialPublic
    
Forked from codebasics/deep-learning-keras-tf-tutorial
    
Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow t…

    Jupyter Notebook
  6. 
t81_558_deep_learning
t81_558_deep_learningPublic
    
Forked from jeffheaton/t81_558_deep_learning
    
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

    Jupyter Notebook

, '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); }
})();
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try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
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  1. 
peaktracking
peaktrackingPublic
    
A Matlab library embedding all methods of interrogation of Fiber Bragg Grating sensors.

    MATLAB
9

1

  2. 
TimeTable-Generator
TimeTable-GeneratorPublic
    
TimeTable Generation program in C++

    C++
  3. 
Earth-Resistance-Calculator
Earth-Resistance-CalculatorPublic
    
Program and python code development for earth resistance calculation based on different electrodes and dimension and soil characteristics (rod, pipe, and plate), inputs parameters should be flexibl…

  4. 
MineSweeper-Annihilators
MineSweeper-AnnihilatorsPublic
  5. 
deep-learning-keras-tf-tutorial
deep-learning-keras-tf-tutorialPublic
    
Forked from codebasics/deep-learning-keras-tf-tutorial
    
Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow t…

    Jupyter Notebook
  6. 
t81_558_deep_learning
t81_558_deep_learningPublic
    
Forked from jeffheaton/t81_558_deep_learning
    
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

    Jupyter Notebook

, '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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  1. 
peaktracking
peaktrackingPublic
    
A Matlab library embedding all methods of interrogation of Fiber Bragg Grating sensors.

    MATLAB
9

1

  2. 
TimeTable-Generator
TimeTable-GeneratorPublic
    
TimeTable Generation program in C++

    C++
  3. 
Earth-Resistance-Calculator
Earth-Resistance-CalculatorPublic
    
Program and python code development for earth resistance calculation based on different electrodes and dimension and soil characteristics (rod, pipe, and plate), inputs parameters should be flexibl…

  4. 
MineSweeper-Annihilators
MineSweeper-AnnihilatorsPublic
  5. 
deep-learning-keras-tf-tutorial
deep-learning-keras-tf-tutorialPublic
    
Forked from codebasics/deep-learning-keras-tf-tutorial
    
Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow t…

    Jupyter Notebook
  6. 
t81_558_deep_learning
t81_558_deep_learningPublic
    
Forked from jeffheaton/t81_558_deep_learning
    
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

    Jupyter Notebook

, '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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Popular repositories
Loading
  1. 
peaktracking
peaktrackingPublic
    
A Matlab library embedding all methods of interrogation of Fiber Bragg Grating sensors.

    MATLAB
9

1

  2. 
TimeTable-Generator
TimeTable-GeneratorPublic
    
TimeTable Generation program in C++

    C++
  3. 
Earth-Resistance-Calculator
Earth-Resistance-CalculatorPublic
    
Program and python code development for earth resistance calculation based on different electrodes and dimension and soil characteristics (rod, pipe, and plate), inputs parameters should be flexibl…

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MineSweeper-Annihilators
MineSweeper-AnnihilatorsPublic
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deep-learning-keras-tf-tutorial
deep-learning-keras-tf-tutorialPublic
    
Forked from codebasics/deep-learning-keras-tf-tutorial
    
Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow t…

    Jupyter Notebook
  6. 
t81_558_deep_learning
t81_558_deep_learningPublic
    
Forked from jeffheaton/t81_558_deep_learning
    
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

    Jupyter Notebook