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drbenvincent/README.md

Hi there 👋

I'm a data science consultant with a focus on Bayesian and Causal methods. I'm part of the PyMC Labs team.

Check out my website at drbenvincent.github.io where you'll find information about my open source and consulting work.

Pinned Loading

  1. pymc-labs/CausalPypymc-labs/CausalPyPublic

    A Python package for causal inference in quasi-experimental settings

    Python 1.2k 114

  2. tidydrawstidydrawsPublic

    A tidybayes-inspired data layer for declarative Bayesian visualisation in Python.

    Python 20

  3. pymc-labs/pathmcpymc-labs/pathmcPublic

    Structural causal models with Bayesian estimation and interventional simulation via a concise DSL.

    Python 128 12

, '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" + '

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239
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 · 20
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drbenvincent/README.md
Hi there 👋
I'm a data science consultant with a focus on Bayesian and Causal methods. I'm part of the PyMC Labs team.
Check out my website at drbenvincent.github.io where you'll find information about my open source and consulting work.

Pinned
Loading
  1. pymc-labs/CausalPypymc-labs/CausalPyPublic
    
A Python package for causal inference in quasi-experimental settings

    Python
1.2k

114

  2. tidydrawstidydrawsPublic
    
A tidybayes-inspired data layer for declarative Bayesian visualisation in Python.

    Python
20

  3. pymc-labs/pathmcpymc-labs/pathmcPublic
    
Structural causal models with Bayesian estimation and interventional simulation via a concise DSL.

    Python
128

12


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

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239
followers
 · 20
following

Achievements
Achievement: Pull Sharkx4Achievement: Pair Extraordinairex4Achievement: Starstruckx3Achievement: YOLOAchievement: QuickdrawAchievement: Arctic Code Vault Contributor
Achievements
Achievement: Pull Sharkx4Achievement: Pair Extraordinairex4Achievement: Starstruckx3Achievement: YOLOAchievement: QuickdrawAchievement: Arctic Code Vault Contributor
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drbenvincent/README.md
Hi there 👋
I'm a data science consultant with a focus on Bayesian and Causal methods. I'm part of the PyMC Labs team.
Check out my website at drbenvincent.github.io where you'll find information about my open source and consulting work.

Pinned
Loading
  1. pymc-labs/CausalPypymc-labs/CausalPyPublic
    
A Python package for causal inference in quasi-experimental settings

    Python
1.2k

114

  2. tidydrawstidydrawsPublic
    
A tidybayes-inspired data layer for declarative Bayesian visualisation in Python.

    Python
20

  3. pymc-labs/pathmcpymc-labs/pathmcPublic
    
Structural causal models with Bayesian estimation and interventional simulation via a concise DSL.

    Python
128

12


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

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239
followers
 · 20
following

Achievements
Achievement: Pull Sharkx4Achievement: Pair Extraordinairex4Achievement: Starstruckx3Achievement: YOLOAchievement: QuickdrawAchievement: Arctic Code Vault Contributor
Achievements
Achievement: Pull Sharkx4Achievement: Pair Extraordinairex4Achievement: Starstruckx3Achievement: YOLOAchievement: QuickdrawAchievement: Arctic Code Vault Contributor
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drbenvincent/README.md
Hi there 👋
I'm a data science consultant with a focus on Bayesian and Causal methods. I'm part of the PyMC Labs team.
Check out my website at drbenvincent.github.io where you'll find information about my open source and consulting work.

Pinned
Loading
  1. pymc-labs/CausalPypymc-labs/CausalPyPublic
    
A Python package for causal inference in quasi-experimental settings

    Python
1.2k

114

  2. tidydrawstidydrawsPublic
    
A tidybayes-inspired data layer for declarative Bayesian visualisation in Python.

    Python
20

  3. pymc-labs/pathmcpymc-labs/pathmcPublic
    
Structural causal models with Bayesian estimation and interventional simulation via a concise DSL.

    Python
128

12


, '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" + '

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239
followers
 · 20
following

Achievements
Achievement: Pull Sharkx4Achievement: Pair Extraordinairex4Achievement: Starstruckx3Achievement: YOLOAchievement: QuickdrawAchievement: Arctic Code Vault Contributor
Achievements
Achievement: Pull Sharkx4Achievement: Pair Extraordinairex4Achievement: Starstruckx3Achievement: YOLOAchievement: QuickdrawAchievement: Arctic Code Vault Contributor
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drbenvincent/README.md
Hi there 👋
I'm a data science consultant with a focus on Bayesian and Causal methods. I'm part of the PyMC Labs team.
Check out my website at drbenvincent.github.io where you'll find information about my open source and consulting work.

Pinned
Loading
  1. pymc-labs/CausalPypymc-labs/CausalPyPublic
    
A Python package for causal inference in quasi-experimental settings

    Python
1.2k

114

  2. tidydrawstidydrawsPublic
    
A tidybayes-inspired data layer for declarative Bayesian visualisation in Python.

    Python
20

  3. pymc-labs/pathmcpymc-labs/pathmcPublic
    
Structural causal models with Bayesian estimation and interventional simulation via a concise DSL.

    Python
128

12


, '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 drbenvincent's full-sized avatar
239
followers
 · 20
following

Achievements
Achievement: Pull Sharkx4Achievement: Pair Extraordinairex4Achievement: Starstruckx3Achievement: YOLOAchievement: QuickdrawAchievement: Arctic Code Vault Contributor
Achievements
Achievement: Pull Sharkx4Achievement: Pair Extraordinairex4Achievement: Starstruckx3Achievement: YOLOAchievement: QuickdrawAchievement: Arctic Code Vault Contributor
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drbenvincent/README.md
Hi there 👋
I'm a data science consultant with a focus on Bayesian and Causal methods. I'm part of the PyMC Labs team.
Check out my website at drbenvincent.github.io where you'll find information about my open source and consulting work.

Pinned
Loading
  1. pymc-labs/CausalPypymc-labs/CausalPyPublic
    
A Python package for causal inference in quasi-experimental settings

    Python
1.2k

114

  2. tidydrawstidydrawsPublic
    
A tidybayes-inspired data layer for declarative Bayesian visualisation in Python.

    Python
20

  3. pymc-labs/pathmcpymc-labs/pathmcPublic
    
Structural causal models with Bayesian estimation and interventional simulation via a concise DSL.

    Python
128

12


, '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 drbenvincent's full-sized avatar
239
followers
 · 20
following

Achievements
Achievement: Pull Sharkx4Achievement: Pair Extraordinairex4Achievement: Starstruckx3Achievement: YOLOAchievement: QuickdrawAchievement: Arctic Code Vault Contributor
Achievements
Achievement: Pull Sharkx4Achievement: Pair Extraordinairex4Achievement: Starstruckx3Achievement: YOLOAchievement: QuickdrawAchievement: Arctic Code Vault Contributor
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drbenvincent/README.md
Hi there 👋
I'm a data science consultant with a focus on Bayesian and Causal methods. I'm part of the PyMC Labs team.
Check out my website at drbenvincent.github.io where you'll find information about my open source and consulting work.

Pinned
Loading
  1. pymc-labs/CausalPypymc-labs/CausalPyPublic
    
A Python package for causal inference in quasi-experimental settings

    Python
1.2k

114

  2. tidydrawstidydrawsPublic
    
A tidybayes-inspired data layer for declarative Bayesian visualisation in Python.

    Python
20

  3. pymc-labs/pathmcpymc-labs/pathmcPublic
    
Structural causal models with Bayesian estimation and interventional simulation via a concise DSL.

    Python
128

12


, '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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239
followers
 · 20
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Achievements
Achievement: Pull Sharkx4Achievement: Pair Extraordinairex4Achievement: Starstruckx3Achievement: YOLOAchievement: QuickdrawAchievement: Arctic Code Vault Contributor
Achievements
Achievement: Pull Sharkx4Achievement: Pair Extraordinairex4Achievement: Starstruckx3Achievement: YOLOAchievement: QuickdrawAchievement: Arctic Code Vault Contributor
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drbenvincent/README.md
Hi there 👋
I'm a data science consultant with a focus on Bayesian and Causal methods. I'm part of the PyMC Labs team.
Check out my website at drbenvincent.github.io where you'll find information about my open source and consulting work.

Pinned
Loading
  1. pymc-labs/CausalPypymc-labs/CausalPyPublic
    
A Python package for causal inference in quasi-experimental settings

    Python
1.2k

114

  2. tidydrawstidydrawsPublic
    
A tidybayes-inspired data layer for declarative Bayesian visualisation in Python.

    Python
20

  3. pymc-labs/pathmcpymc-labs/pathmcPublic
    
Structural causal models with Bayesian estimation and interventional simulation via a concise DSL.

    Python
128

12