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    1. pymc-devs/pymcpymc-devs/pymcPublic

      Bayesian Modeling and Probabilistic Programming in Python

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      collection of ipython notebooks for "How to Analyse an Online Experiment in Python" tutorial

      Jupyter Notebook 60 35

    5. pbrtMayaPypbrtMayaPyPublic

      PBRT Plugin for Maya. PBRT v2 is described in Physically Based Rendering: From Theory To Implementation book

      Python 22 8

    6. dfm/emceedfm/emceePublic

      The Python ensemble sampling toolkit for affine-invariant MCMC

      Python 1.6k 440

    , '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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      1. pymc-devs/pymcpymc-devs/pymcPublic

        Bayesian Modeling and Probabilistic Programming in Python

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        Create Open XML PowerPoint documents in Python

        Python 3.5k 736

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        TeX 1.9k 505

      4. stats-testing-in-pythonstats-testing-in-pythonPublic

        collection of ipython notebooks for "How to Analyse an Online Experiment in Python" tutorial

        Jupyter Notebook 60 35

      5. pbrtMayaPypbrtMayaPyPublic

        PBRT Plugin for Maya. PBRT v2 is described in Physically Based Rendering: From Theory To Implementation book

        Python 22 8

      6. dfm/emceedfm/emceePublic

        The Python ensemble sampling toolkit for affine-invariant MCMC

        Python 1.6k 440

      , '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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          Bayesian Modeling and Probabilistic Programming in Python

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          Create Open XML PowerPoint documents in Python

          Python 3.5k 736

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          TeX 1.9k 505

        4. stats-testing-in-pythonstats-testing-in-pythonPublic

          collection of ipython notebooks for "How to Analyse an Online Experiment in Python" tutorial

          Jupyter Notebook 60 35

        5. pbrtMayaPypbrtMayaPyPublic

          PBRT Plugin for Maya. PBRT v2 is described in Physically Based Rendering: From Theory To Implementation book

          Python 22 8

        6. dfm/emceedfm/emceePublic

          The Python ensemble sampling toolkit for affine-invariant MCMC

          Python 1.6k 440

        , '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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            Bayesian Modeling and Probabilistic Programming in Python

            Python 9.7k 2.3k

          2. scanny/python-pptxscanny/python-pptxPublic

            Create Open XML PowerPoint documents in Python

            Python 3.5k 736

          3. arviz-devs/arvizarviz-devs/arvizPublic

            Exploratory analysis of Bayesian models with Python

            TeX 1.9k 505

          4. stats-testing-in-pythonstats-testing-in-pythonPublic

            collection of ipython notebooks for "How to Analyse an Online Experiment in Python" tutorial

            Jupyter Notebook 60 35

          5. pbrtMayaPypbrtMayaPyPublic

            PBRT Plugin for Maya. PBRT v2 is described in Physically Based Rendering: From Theory To Implementation book

            Python 22 8

          6. dfm/emceedfm/emceePublic

            The Python ensemble sampling toolkit for affine-invariant MCMC

            Python 1.6k 440

          , '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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              Bayesian Modeling and Probabilistic Programming in Python

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              Create Open XML PowerPoint documents in Python

              Python 3.5k 736

            3. arviz-devs/arvizarviz-devs/arvizPublic

              Exploratory analysis of Bayesian models with Python

              TeX 1.9k 505

            4. stats-testing-in-pythonstats-testing-in-pythonPublic

              collection of ipython notebooks for "How to Analyse an Online Experiment in Python" tutorial

              Jupyter Notebook 60 35

            5. pbrtMayaPypbrtMayaPyPublic

              PBRT Plugin for Maya. PBRT v2 is described in Physically Based Rendering: From Theory To Implementation book

              Python 22 8

            6. dfm/emceedfm/emceePublic

              The Python ensemble sampling toolkit for affine-invariant MCMC

              Python 1.6k 440

            , '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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                Bayesian Modeling and Probabilistic Programming in Python

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                Create Open XML PowerPoint documents in Python

                Python 3.5k 736

              3. arviz-devs/arvizarviz-devs/arvizPublic

                Exploratory analysis of Bayesian models with Python

                TeX 1.9k 505

              4. stats-testing-in-pythonstats-testing-in-pythonPublic

                collection of ipython notebooks for "How to Analyse an Online Experiment in Python" tutorial

                Jupyter Notebook 60 35

              5. pbrtMayaPypbrtMayaPyPublic

                PBRT Plugin for Maya. PBRT v2 is described in Physically Based Rendering: From Theory To Implementation book

                Python 22 8

              6. dfm/emceedfm/emceePublic

                The Python ensemble sampling toolkit for affine-invariant MCMC

                Python 1.6k 440

              , '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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                  Bayesian Modeling and Probabilistic Programming in Python

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                  Create Open XML PowerPoint documents in Python

                  Python 3.5k 736

                3. arviz-devs/arvizarviz-devs/arvizPublic

                  Exploratory analysis of Bayesian models with Python

                  TeX 1.9k 505

                4. stats-testing-in-pythonstats-testing-in-pythonPublic

                  collection of ipython notebooks for "How to Analyse an Online Experiment in Python" tutorial

                  Jupyter Notebook 60 35

                5. pbrtMayaPypbrtMayaPyPublic

                  PBRT Plugin for Maya. PBRT v2 is described in Physically Based Rendering: From Theory To Implementation book

                  Python 22 8

                6. dfm/emceedfm/emceePublic

                  The Python ensemble sampling toolkit for affine-invariant MCMC

                  Python 1.6k 440

                , '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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                  1. pymc-devs/pymcpymc-devs/pymcPublic

                    Bayesian Modeling and Probabilistic Programming in Python

                    Python 9.7k 2.3k

                  2. scanny/python-pptxscanny/python-pptxPublic

                    Create Open XML PowerPoint documents in Python

                    Python 3.5k 736

                  3. arviz-devs/arvizarviz-devs/arvizPublic

                    Exploratory analysis of Bayesian models with Python

                    TeX 1.9k 505

                  4. stats-testing-in-pythonstats-testing-in-pythonPublic

                    collection of ipython notebooks for "How to Analyse an Online Experiment in Python" tutorial

                    Jupyter Notebook 60 35

                  5. pbrtMayaPypbrtMayaPyPublic

                    PBRT Plugin for Maya. PBRT v2 is described in Physically Based Rendering: From Theory To Implementation book

                    Python 22 8

                  6. dfm/emceedfm/emceePublic

                    The Python ensemble sampling toolkit for affine-invariant MCMC

                    Python 1.6k 440