View keyprocedure's full-sized avatar
  • San Francisco Bay Area
  • LinkedInin/zuby

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: YOLO

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: YOLO

Highlights

  • Pro

Block or report keyprocedure

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
keyprocedure/README.md

PyTorch ExecuTorch Contributions

Core Features

  • Memory-Layout Preserving Clone Operator
    Built a new clone operator with a portable kernel and integrated across ARM, Apple’s Core ML, and Qualcomm backends; preventing optimization-induced output errors in production [PR #12974] [PR #13735] [PR #12976]

  • BatchNorm–Linear Graph Fusion
    Developed a graph transformation that fuses BatchNorm into Linear layers, reducing computational overhead and improving CPU model efficiency [PR #11805]

  • Dynamic Quantization for 2D Convolutions
    Enabled quantization support for conv2d operators, reducing memory footprint and improving edge device performance [PR #10347]

  • Android API via JNI
    Created an API enabling developers to query supported operators and backends directly from native C++ runtime [PR #11042]

  • Memory-Mapped File Loading
    Implemented mmap data loader to restore mutable tensor states with initial values, critical for on-device training and read-before-write model operations [PR #11654]

Reliability & Safety

  • Logging Safety Tests
    Added safeguards against uninitialized outputs, improving runtime reliability [PR #9762]

  • Mixed Precision Inference Guardrails
    Added checks to prevent model failures under mixed dtypes [PR #9612]

  • Input Validation for Model Execution
    Strengthened runtime safety by preventing silent memory corruptions [PR #10701]

Tooling & CI

  • Platform Detection and Updated Build Instructions
    Improved source-built PyTorch integration and documentation [PR #10652]

  • Formatter and Lint Workflow Expansion
    Expanded CI coverage and quality [PR #12256]

Pinned Loading

  1. pytorch/executorchpytorch/executorchPublic

    On-device AI across mobile, embedded and edge for PyTorch

    Python 5k 1.1k

  2. GT-SCI/GT-CrackSegGT-SCI/GT-CrackSegPublic

    Python 16

  3. real-time-unoreal-time-unoPublic

    Online multiplayer UNO

    TypeScript

  4. linux-file-systemlinux-file-systemPublic

    Custom Linux File System

    C

  5. princeton-algorithmsprinceton-algorithmsPublic

    Projects from Princeton's Coursera algorithms courses

    Java

, '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" + '

Skip to content
View keyprocedure's full-sized avatar
  • San Francisco Bay Area
  • LinkedInin/zuby
Achievements
Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: YOLO
Achievements
Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: YOLO
Highlights
  • 
Pro


Block or report keyprocedure

Block user

Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.


You must be logged in to block users.


Content in all repositories owned by your account will be closed.


Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

Report abuse

Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

Report abuse
keyprocedure/README.md
PyTorch ExecuTorch Contributions
Core Features
  • Memory-Layout Preserving Clone Operator
    
Built a new clone operator with a portable kernel and integrated across ARM, Apple’s Core ML, and Qualcomm backends; preventing optimization-induced output errors in production [PR #12974] [PR #13735] [PR #12976]
  • BatchNorm–Linear Graph Fusion
    
Developed a graph transformation that fuses BatchNorm into Linear layers, reducing computational overhead and improving CPU model efficiency [PR #11805]
  • Dynamic Quantization for 2D Convolutions
    
Enabled quantization support for conv2d operators, reducing memory footprint and improving edge device performance [PR #10347]
  • Android API via JNI
    
Created an API enabling developers to query supported operators and backends directly from native C++ runtime [PR #11042]
  • Memory-Mapped File Loading
    
Implemented mmap data loader to restore mutable tensor states with initial values, critical for
on-device training and read-before-write model operations [PR #11654]
Reliability & Safety
  • Logging Safety Tests
    
Added safeguards against uninitialized outputs, improving runtime reliability [PR #9762]
  • Mixed Precision Inference Guardrails
    
Added checks to prevent model failures under mixed dtypes [PR #9612]
  • Input Validation for Model Execution
    
Strengthened runtime safety by preventing silent memory corruptions [PR #10701]
Tooling & CI
  • Platform Detection and Updated Build Instructions
    
Improved source-built PyTorch integration and documentation [PR #10652]
  • Formatter and Lint Workflow Expansion
    
Expanded CI coverage and quality [PR #12256]

Pinned
Loading
  1. pytorch/executorchpytorch/executorchPublic
    
On-device AI across mobile, embedded and edge for PyTorch

    Python
5k

1.1k

  2. GT-SCI/GT-CrackSegGT-SCI/GT-CrackSegPublic
    Python
16

  3. real-time-unoreal-time-unoPublic
    
Online multiplayer UNO

    TypeScript
  4. linux-file-systemlinux-file-systemPublic
    
Custom Linux File System

    C
  5. princeton-algorithmsprinceton-algorithmsPublic
    
Projects from Princeton's Coursera algorithms courses

    Java

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

Skip to content
View keyprocedure's full-sized avatar
  • San Francisco Bay Area
  • LinkedInin/zuby
Achievements
Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: YOLO
Achievements
Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: YOLO
Highlights
  • 
Pro


Block or report keyprocedure

Block user

Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.


You must be logged in to block users.


Content in all repositories owned by your account will be closed.


Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

Report abuse

Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

Report abuse
keyprocedure/README.md
PyTorch ExecuTorch Contributions
Core Features
  • Memory-Layout Preserving Clone Operator
    
Built a new clone operator with a portable kernel and integrated across ARM, Apple’s Core ML, and Qualcomm backends; preventing optimization-induced output errors in production [PR #12974] [PR #13735] [PR #12976]
  • BatchNorm–Linear Graph Fusion
    
Developed a graph transformation that fuses BatchNorm into Linear layers, reducing computational overhead and improving CPU model efficiency [PR #11805]
  • Dynamic Quantization for 2D Convolutions
    
Enabled quantization support for conv2d operators, reducing memory footprint and improving edge device performance [PR #10347]
  • Android API via JNI
    
Created an API enabling developers to query supported operators and backends directly from native C++ runtime [PR #11042]
  • Memory-Mapped File Loading
    
Implemented mmap data loader to restore mutable tensor states with initial values, critical for
on-device training and read-before-write model operations [PR #11654]
Reliability & Safety
  • Logging Safety Tests
    
Added safeguards against uninitialized outputs, improving runtime reliability [PR #9762]
  • Mixed Precision Inference Guardrails
    
Added checks to prevent model failures under mixed dtypes [PR #9612]
  • Input Validation for Model Execution
    
Strengthened runtime safety by preventing silent memory corruptions [PR #10701]
Tooling & CI
  • Platform Detection and Updated Build Instructions
    
Improved source-built PyTorch integration and documentation [PR #10652]
  • Formatter and Lint Workflow Expansion
    
Expanded CI coverage and quality [PR #12256]

Pinned
Loading
  1. pytorch/executorchpytorch/executorchPublic
    
On-device AI across mobile, embedded and edge for PyTorch

    Python
5k

1.1k

  2. GT-SCI/GT-CrackSegGT-SCI/GT-CrackSegPublic
    Python
16

  3. real-time-unoreal-time-unoPublic
    
Online multiplayer UNO

    TypeScript
  4. linux-file-systemlinux-file-systemPublic
    
Custom Linux File System

    C
  5. princeton-algorithmsprinceton-algorithmsPublic
    
Projects from Princeton's Coursera algorithms courses

    Java

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

Skip to content
View keyprocedure's full-sized avatar
  • San Francisco Bay Area
  • LinkedInin/zuby
Achievements
Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: YOLO
Achievements
Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: YOLO
Highlights
  • 
Pro


Block or report keyprocedure

Block user

Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.


You must be logged in to block users.


Content in all repositories owned by your account will be closed.


Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

Report abuse

Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

Report abuse
keyprocedure/README.md
PyTorch ExecuTorch Contributions
Core Features
  • Memory-Layout Preserving Clone Operator
    
Built a new clone operator with a portable kernel and integrated across ARM, Apple’s Core ML, and Qualcomm backends; preventing optimization-induced output errors in production [PR #12974] [PR #13735] [PR #12976]
  • BatchNorm–Linear Graph Fusion
    
Developed a graph transformation that fuses BatchNorm into Linear layers, reducing computational overhead and improving CPU model efficiency [PR #11805]
  • Dynamic Quantization for 2D Convolutions
    
Enabled quantization support for conv2d operators, reducing memory footprint and improving edge device performance [PR #10347]
  • Android API via JNI
    
Created an API enabling developers to query supported operators and backends directly from native C++ runtime [PR #11042]
  • Memory-Mapped File Loading
    
Implemented mmap data loader to restore mutable tensor states with initial values, critical for
on-device training and read-before-write model operations [PR #11654]
Reliability & Safety
  • Logging Safety Tests
    
Added safeguards against uninitialized outputs, improving runtime reliability [PR #9762]
  • Mixed Precision Inference Guardrails
    
Added checks to prevent model failures under mixed dtypes [PR #9612]
  • Input Validation for Model Execution
    
Strengthened runtime safety by preventing silent memory corruptions [PR #10701]
Tooling & CI
  • Platform Detection and Updated Build Instructions
    
Improved source-built PyTorch integration and documentation [PR #10652]
  • Formatter and Lint Workflow Expansion
    
Expanded CI coverage and quality [PR #12256]

Pinned
Loading
  1. pytorch/executorchpytorch/executorchPublic
    
On-device AI across mobile, embedded and edge for PyTorch

    Python
5k

1.1k

  2. GT-SCI/GT-CrackSegGT-SCI/GT-CrackSegPublic
    Python
16

  3. real-time-unoreal-time-unoPublic
    
Online multiplayer UNO

    TypeScript
  4. linux-file-systemlinux-file-systemPublic
    
Custom Linux File System

    C
  5. princeton-algorithmsprinceton-algorithmsPublic
    
Projects from Princeton's Coursera algorithms courses

    Java

, '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" + '

Skip to content
View keyprocedure's full-sized avatar
  • San Francisco Bay Area
  • LinkedInin/zuby
Achievements
Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: YOLO
Achievements
Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: YOLO
Highlights
  • 
Pro


Block or report keyprocedure

Block user

Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.


You must be logged in to block users.


Content in all repositories owned by your account will be closed.


Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

Report abuse

Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

Report abuse
keyprocedure/README.md
PyTorch ExecuTorch Contributions
Core Features
  • Memory-Layout Preserving Clone Operator
    
Built a new clone operator with a portable kernel and integrated across ARM, Apple’s Core ML, and Qualcomm backends; preventing optimization-induced output errors in production [PR #12974] [PR #13735] [PR #12976]
  • BatchNorm–Linear Graph Fusion
    
Developed a graph transformation that fuses BatchNorm into Linear layers, reducing computational overhead and improving CPU model efficiency [PR #11805]
  • Dynamic Quantization for 2D Convolutions
    
Enabled quantization support for conv2d operators, reducing memory footprint and improving edge device performance [PR #10347]
  • Android API via JNI
    
Created an API enabling developers to query supported operators and backends directly from native C++ runtime [PR #11042]
  • Memory-Mapped File Loading
    
Implemented mmap data loader to restore mutable tensor states with initial values, critical for
on-device training and read-before-write model operations [PR #11654]
Reliability & Safety
  • Logging Safety Tests
    
Added safeguards against uninitialized outputs, improving runtime reliability [PR #9762]
  • Mixed Precision Inference Guardrails
    
Added checks to prevent model failures under mixed dtypes [PR #9612]
  • Input Validation for Model Execution
    
Strengthened runtime safety by preventing silent memory corruptions [PR #10701]
Tooling & CI
  • Platform Detection and Updated Build Instructions
    
Improved source-built PyTorch integration and documentation [PR #10652]
  • Formatter and Lint Workflow Expansion
    
Expanded CI coverage and quality [PR #12256]

Pinned
Loading
  1. pytorch/executorchpytorch/executorchPublic
    
On-device AI across mobile, embedded and edge for PyTorch

    Python
5k

1.1k

  2. GT-SCI/GT-CrackSegGT-SCI/GT-CrackSegPublic
    Python
16

  3. real-time-unoreal-time-unoPublic
    
Online multiplayer UNO

    TypeScript
  4. linux-file-systemlinux-file-systemPublic
    
Custom Linux File System

    C
  5. princeton-algorithmsprinceton-algorithmsPublic
    
Projects from Princeton's Coursera algorithms courses

    Java

, '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 keyprocedure's full-sized avatar
  • San Francisco Bay Area
  • LinkedInin/zuby
Achievements
Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: YOLO
Achievements
Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: YOLO
Highlights
  • 
Pro


Block or report keyprocedure

Block user

Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.


You must be logged in to block users.


Content in all repositories owned by your account will be closed.


Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

Report abuse

Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

Report abuse
keyprocedure/README.md
PyTorch ExecuTorch Contributions
Core Features
  • Memory-Layout Preserving Clone Operator
    
Built a new clone operator with a portable kernel and integrated across ARM, Apple’s Core ML, and Qualcomm backends; preventing optimization-induced output errors in production [PR #12974] [PR #13735] [PR #12976]
  • BatchNorm–Linear Graph Fusion
    
Developed a graph transformation that fuses BatchNorm into Linear layers, reducing computational overhead and improving CPU model efficiency [PR #11805]
  • Dynamic Quantization for 2D Convolutions
    
Enabled quantization support for conv2d operators, reducing memory footprint and improving edge device performance [PR #10347]
  • Android API via JNI
    
Created an API enabling developers to query supported operators and backends directly from native C++ runtime [PR #11042]
  • Memory-Mapped File Loading
    
Implemented mmap data loader to restore mutable tensor states with initial values, critical for
on-device training and read-before-write model operations [PR #11654]
Reliability & Safety
  • Logging Safety Tests
    
Added safeguards against uninitialized outputs, improving runtime reliability [PR #9762]
  • Mixed Precision Inference Guardrails
    
Added checks to prevent model failures under mixed dtypes [PR #9612]
  • Input Validation for Model Execution
    
Strengthened runtime safety by preventing silent memory corruptions [PR #10701]
Tooling & CI
  • Platform Detection and Updated Build Instructions
    
Improved source-built PyTorch integration and documentation [PR #10652]
  • Formatter and Lint Workflow Expansion
    
Expanded CI coverage and quality [PR #12256]

Pinned
Loading
  1. pytorch/executorchpytorch/executorchPublic
    
On-device AI across mobile, embedded and edge for PyTorch

    Python
5k

1.1k

  2. GT-SCI/GT-CrackSegGT-SCI/GT-CrackSegPublic
    Python
16

  3. real-time-unoreal-time-unoPublic
    
Online multiplayer UNO

    TypeScript
  4. linux-file-systemlinux-file-systemPublic
    
Custom Linux File System

    C
  5. princeton-algorithmsprinceton-algorithmsPublic
    
Projects from Princeton's Coursera algorithms courses

    Java

, '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 keyprocedure's full-sized avatar
  • San Francisco Bay Area
  • LinkedInin/zuby
Achievements
Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: YOLO
Achievements
Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: YOLO
Highlights
  • 
Pro


Block or report keyprocedure

Block user

Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.


You must be logged in to block users.


Content in all repositories owned by your account will be closed.


Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

Report abuse

Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

Report abuse
keyprocedure/README.md
PyTorch ExecuTorch Contributions
Core Features
  • Memory-Layout Preserving Clone Operator
    
Built a new clone operator with a portable kernel and integrated across ARM, Apple’s Core ML, and Qualcomm backends; preventing optimization-induced output errors in production [PR #12974] [PR #13735] [PR #12976]
  • BatchNorm–Linear Graph Fusion
    
Developed a graph transformation that fuses BatchNorm into Linear layers, reducing computational overhead and improving CPU model efficiency [PR #11805]
  • Dynamic Quantization for 2D Convolutions
    
Enabled quantization support for conv2d operators, reducing memory footprint and improving edge device performance [PR #10347]
  • Android API via JNI
    
Created an API enabling developers to query supported operators and backends directly from native C++ runtime [PR #11042]
  • Memory-Mapped File Loading
    
Implemented mmap data loader to restore mutable tensor states with initial values, critical for
on-device training and read-before-write model operations [PR #11654]
Reliability & Safety
  • Logging Safety Tests
    
Added safeguards against uninitialized outputs, improving runtime reliability [PR #9762]
  • Mixed Precision Inference Guardrails
    
Added checks to prevent model failures under mixed dtypes [PR #9612]
  • Input Validation for Model Execution
    
Strengthened runtime safety by preventing silent memory corruptions [PR #10701]
Tooling & CI
  • Platform Detection and Updated Build Instructions
    
Improved source-built PyTorch integration and documentation [PR #10652]
  • Formatter and Lint Workflow Expansion
    
Expanded CI coverage and quality [PR #12256]

Pinned
Loading
  1. pytorch/executorchpytorch/executorchPublic
    
On-device AI across mobile, embedded and edge for PyTorch

    Python
5k

1.1k

  2. GT-SCI/GT-CrackSegGT-SCI/GT-CrackSegPublic
    Python
16

  3. real-time-unoreal-time-unoPublic
    
Online multiplayer UNO

    TypeScript
  4. linux-file-systemlinux-file-systemPublic
    
Custom Linux File System

    C
  5. princeton-algorithmsprinceton-algorithmsPublic
    
Projects from Princeton's Coursera algorithms courses

    Java

, '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); }
})();
})();

Skip to content
View keyprocedure's full-sized avatar
  • San Francisco Bay Area
  • LinkedInin/zuby
Achievements
Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: YOLO
Achievements
Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: YOLO
Highlights
  • 
Pro


Block or report keyprocedure

Block user

Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.


You must be logged in to block users.


Content in all repositories owned by your account will be closed.


Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

Report abuse

Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

Report abuse
keyprocedure/README.md
PyTorch ExecuTorch Contributions
Core Features
  • Memory-Layout Preserving Clone Operator
    
Built a new clone operator with a portable kernel and integrated across ARM, Apple’s Core ML, and Qualcomm backends; preventing optimization-induced output errors in production [PR #12974] [PR #13735] [PR #12976]
  • BatchNorm–Linear Graph Fusion
    
Developed a graph transformation that fuses BatchNorm into Linear layers, reducing computational overhead and improving CPU model efficiency [PR #11805]
  • Dynamic Quantization for 2D Convolutions
    
Enabled quantization support for conv2d operators, reducing memory footprint and improving edge device performance [PR #10347]
  • Android API via JNI
    
Created an API enabling developers to query supported operators and backends directly from native C++ runtime [PR #11042]
  • Memory-Mapped File Loading
    
Implemented mmap data loader to restore mutable tensor states with initial values, critical for
on-device training and read-before-write model operations [PR #11654]
Reliability & Safety
  • Logging Safety Tests
    
Added safeguards against uninitialized outputs, improving runtime reliability [PR #9762]
  • Mixed Precision Inference Guardrails
    
Added checks to prevent model failures under mixed dtypes [PR #9612]
  • Input Validation for Model Execution
    
Strengthened runtime safety by preventing silent memory corruptions [PR #10701]
Tooling & CI
  • Platform Detection and Updated Build Instructions
    
Improved source-built PyTorch integration and documentation [PR #10652]
  • Formatter and Lint Workflow Expansion
    
Expanded CI coverage and quality [PR #12256]

Pinned
Loading
  1. pytorch/executorchpytorch/executorchPublic
    
On-device AI across mobile, embedded and edge for PyTorch

    Python
5k

1.1k

  2. GT-SCI/GT-CrackSegGT-SCI/GT-CrackSegPublic
    Python
16

  3. real-time-unoreal-time-unoPublic
    
Online multiplayer UNO

    TypeScript
  4. linux-file-systemlinux-file-systemPublic
    
Custom Linux File System

    C
  5. princeton-algorithmsprinceton-algorithmsPublic
    
Projects from Princeton's Coursera algorithms courses

    Java