@ivy-llc

ivy

Convert Machine Learning Code Between Frameworks
README.md
Website
Website		Docs
Docs		Demos
Demos		Design
Design		FAQ
FAQ


Convert Machine Learning Code Between Frameworks

Ivy enables you to:

  • Convert ML models, tools and libraries between frameworks while maintaining complete functionality using ivy.transpile
  • Create optimized graph-based models and functions in any native framework (PyTorch, TensorFlow, etc..) with ivy.trace_graph

Get started

You can find Ivy's documentation on the Docs page, which includes:

  • Motivation: This contextualizes the problem Ivy is trying to solve by going over
  • Related Work: Which paints a picture of the role Ivy plays in the ML stack, comparing it to other existing solutions in terms of functionalities and abstraction level.
  • Design: A user-focused guide about the design decision behind the architecture and the main building blocks of Ivy.
  • Deep Dive: Which delves deeper into the implementation details of Ivy and is oriented towards potential contributors to the code base.

Contributing

We believe that everyone can contribute and make a difference. Whether it's writing code, fixing bugs, or simply sharing feedback, your contributions are definitely welcome and appreciated 🙌

Check out all of our Open Tasks, and find out more info in our Contributing guide in the docs! Or to immediately dive into a useful task, look for any failing tests on our Test Dashboard!


Community



Join our growing community on a mission to make conversions between frameworks simple and accessible to all! Whether you are a seasoned developer or just starting out, you'll find a place here! Join the Ivy community on our Discord 👾 server, which is the perfect place to ask questions, share ideas, and get help from both fellow developers and the Ivy Team directly.

See you there!

Popular repositories Loading

  1. vision visionPublic

    3D Vision functions with end-to-end support for deep learning developers, written in Ivy.

    Python 72 18

  2. gym gymPublic

    Fully differentiable RL environments, written in Ivy.

    Python 66 9

  3. robot robotPublic

    Functions and classes for gradient-based robot motion planning, written in Ivy.

    Python 50 10

  4. memory memoryPublic

    Differentiable memory modules for machine learning with Ivy

    Python 38 10

  5. models modelsPublic

    Off-the-shelf models for a variety of domains

    Python 23 29

  6. demos demosPublic

    Demos and Tutorials with Ivy

    Jupyter Notebook 18 58

Repositories

Showing 10 of 20 repositories
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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
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})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
@ivy-llc

ivy

Convert Machine Learning Code Between Frameworks
README.md
Website
Website		Docs
Docs		Demos
Demos		Design
Design		FAQ
FAQ


Convert Machine Learning Code Between Frameworks
Ivy enables you to:
  • Convert ML models, tools and libraries between frameworks while maintaining complete functionality using ivy.transpile
  • Create optimized graph-based models and functions in any native framework (PyTorch, TensorFlow, etc..) with ivy.trace_graph

Get started
You can find Ivy's documentation on the Docs page, which includes:
  • Motivation: This contextualizes the problem Ivy is trying to solve by going over

  • Related Work: Which paints a picture of the role Ivy plays in the ML stack, comparing it to other existing solutions in terms of functionalities and abstraction level.
  • Design: A user-focused guide about the design decision behind the architecture and the main building blocks of Ivy.
  • Deep Dive: Which delves deeper into the implementation details of Ivy and is oriented towards potential contributors to the code base.

Contributing
We believe that everyone can contribute and make a difference. Whether
it's writing code, fixing bugs, or simply sharing feedback,
your contributions are definitely welcome and appreciated 🙌
Check out all of our Open Tasks,
and find out more info in our Contributing guide
in the docs! Or to immediately dive into a useful task, look for any failing tests on our Test Dashboard!

Community


Join our growing community on a mission to make conversions between frameworks simple and accessible to all!
Whether you are a seasoned developer or just starting out, you'll find a place here! Join the Ivy community on
our Discord 👾 server, which is the
perfect place to ask questions, share ideas, and get help from both
fellow developers and the Ivy Team directly.
 See you there! 

Popular repositories
Loading
  1. 
vision
visionPublic
    
3D Vision functions with end-to-end support for deep learning developers, written in Ivy.

    Python
72

18

  2. 
gym
gymPublic
    
Fully differentiable RL environments, written in Ivy.

    Python
66

9

  3. 
robot
robotPublic
    
Functions and classes for gradient-based robot motion planning, written in Ivy.

    Python
50

10

  4. 
memory
memoryPublic
    
Differentiable memory modules for machine learning with Ivy

    Python
38

10

  5. 
models
modelsPublic
    
Off-the-shelf models for a variety of domains

    Python
23

29

  6. 
demos
demosPublic
    
Demos and Tutorials with Ivy

    Jupyter Notebook
18

58


Repositories

Showing 10 of 20 repositories
View all repositories
Top languages
Loading…
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Loading…

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

Skip to content
@ivy-llc

ivy

Convert Machine Learning Code Between Frameworks
README.md
Website
Website		Docs
Docs		Demos
Demos		Design
Design		FAQ
FAQ


Convert Machine Learning Code Between Frameworks
Ivy enables you to:
  • Convert ML models, tools and libraries between frameworks while maintaining complete functionality using ivy.transpile
  • Create optimized graph-based models and functions in any native framework (PyTorch, TensorFlow, etc..) with ivy.trace_graph

Get started
You can find Ivy's documentation on the Docs page, which includes:
  • Motivation: This contextualizes the problem Ivy is trying to solve by going over

  • Related Work: Which paints a picture of the role Ivy plays in the ML stack, comparing it to other existing solutions in terms of functionalities and abstraction level.
  • Design: A user-focused guide about the design decision behind the architecture and the main building blocks of Ivy.
  • Deep Dive: Which delves deeper into the implementation details of Ivy and is oriented towards potential contributors to the code base.

Contributing
We believe that everyone can contribute and make a difference. Whether
it's writing code, fixing bugs, or simply sharing feedback,
your contributions are definitely welcome and appreciated 🙌
Check out all of our Open Tasks,
and find out more info in our Contributing guide
in the docs! Or to immediately dive into a useful task, look for any failing tests on our Test Dashboard!

Community


Join our growing community on a mission to make conversions between frameworks simple and accessible to all!
Whether you are a seasoned developer or just starting out, you'll find a place here! Join the Ivy community on
our Discord 👾 server, which is the
perfect place to ask questions, share ideas, and get help from both
fellow developers and the Ivy Team directly.
 See you there! 

Popular repositories
Loading
  1. 
vision
visionPublic
    
3D Vision functions with end-to-end support for deep learning developers, written in Ivy.

    Python
72

18

  2. 
gym
gymPublic
    
Fully differentiable RL environments, written in Ivy.

    Python
66

9

  3. 
robot
robotPublic
    
Functions and classes for gradient-based robot motion planning, written in Ivy.

    Python
50

10

  4. 
memory
memoryPublic
    
Differentiable memory modules for machine learning with Ivy

    Python
38

10

  5. 
models
modelsPublic
    
Off-the-shelf models for a variety of domains

    Python
23

29

  6. 
demos
demosPublic
    
Demos and Tutorials with Ivy

    Jupyter Notebook
18

58


Repositories

Showing 10 of 20 repositories
View all repositories
Top languages
Loading…
Most used topics
Loading…

, '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
@ivy-llc

ivy

Convert Machine Learning Code Between Frameworks
README.md
Website
Website		Docs
Docs		Demos
Demos		Design
Design		FAQ
FAQ


Convert Machine Learning Code Between Frameworks
Ivy enables you to:
  • Convert ML models, tools and libraries between frameworks while maintaining complete functionality using ivy.transpile
  • Create optimized graph-based models and functions in any native framework (PyTorch, TensorFlow, etc..) with ivy.trace_graph

Get started
You can find Ivy's documentation on the Docs page, which includes:
  • Motivation: This contextualizes the problem Ivy is trying to solve by going over

  • Related Work: Which paints a picture of the role Ivy plays in the ML stack, comparing it to other existing solutions in terms of functionalities and abstraction level.
  • Design: A user-focused guide about the design decision behind the architecture and the main building blocks of Ivy.
  • Deep Dive: Which delves deeper into the implementation details of Ivy and is oriented towards potential contributors to the code base.

Contributing
We believe that everyone can contribute and make a difference. Whether
it's writing code, fixing bugs, or simply sharing feedback,
your contributions are definitely welcome and appreciated 🙌
Check out all of our Open Tasks,
and find out more info in our Contributing guide
in the docs! Or to immediately dive into a useful task, look for any failing tests on our Test Dashboard!

Community


Join our growing community on a mission to make conversions between frameworks simple and accessible to all!
Whether you are a seasoned developer or just starting out, you'll find a place here! Join the Ivy community on
our Discord 👾 server, which is the
perfect place to ask questions, share ideas, and get help from both
fellow developers and the Ivy Team directly.
 See you there! 

Popular repositories
Loading
  1. 
vision
visionPublic
    
3D Vision functions with end-to-end support for deep learning developers, written in Ivy.

    Python
72

18

  2. 
gym
gymPublic
    
Fully differentiable RL environments, written in Ivy.

    Python
66

9

  3. 
robot
robotPublic
    
Functions and classes for gradient-based robot motion planning, written in Ivy.

    Python
50

10

  4. 
memory
memoryPublic
    
Differentiable memory modules for machine learning with Ivy

    Python
38

10

  5. 
models
modelsPublic
    
Off-the-shelf models for a variety of domains

    Python
23

29

  6. 
demos
demosPublic
    
Demos and Tutorials with Ivy

    Jupyter Notebook
18

58


Repositories

Showing 10 of 20 repositories
View all repositories
Top languages
Loading…
Most used topics
Loading…

, '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
@ivy-llc

ivy

Convert Machine Learning Code Between Frameworks
README.md
Website
Website		Docs
Docs		Demos
Demos		Design
Design		FAQ
FAQ


Convert Machine Learning Code Between Frameworks
Ivy enables you to:
  • Convert ML models, tools and libraries between frameworks while maintaining complete functionality using ivy.transpile
  • Create optimized graph-based models and functions in any native framework (PyTorch, TensorFlow, etc..) with ivy.trace_graph

Get started
You can find Ivy's documentation on the Docs page, which includes:
  • Motivation: This contextualizes the problem Ivy is trying to solve by going over

  • Related Work: Which paints a picture of the role Ivy plays in the ML stack, comparing it to other existing solutions in terms of functionalities and abstraction level.
  • Design: A user-focused guide about the design decision behind the architecture and the main building blocks of Ivy.
  • Deep Dive: Which delves deeper into the implementation details of Ivy and is oriented towards potential contributors to the code base.

Contributing
We believe that everyone can contribute and make a difference. Whether
it's writing code, fixing bugs, or simply sharing feedback,
your contributions are definitely welcome and appreciated 🙌
Check out all of our Open Tasks,
and find out more info in our Contributing guide
in the docs! Or to immediately dive into a useful task, look for any failing tests on our Test Dashboard!

Community


Join our growing community on a mission to make conversions between frameworks simple and accessible to all!
Whether you are a seasoned developer or just starting out, you'll find a place here! Join the Ivy community on
our Discord 👾 server, which is the
perfect place to ask questions, share ideas, and get help from both
fellow developers and the Ivy Team directly.
 See you there! 

Popular repositories
Loading
  1. 
vision
visionPublic
    
3D Vision functions with end-to-end support for deep learning developers, written in Ivy.

    Python
72

18

  2. 
gym
gymPublic
    
Fully differentiable RL environments, written in Ivy.

    Python
66

9

  3. 
robot
robotPublic
    
Functions and classes for gradient-based robot motion planning, written in Ivy.

    Python
50

10

  4. 
memory
memoryPublic
    
Differentiable memory modules for machine learning with Ivy

    Python
38

10

  5. 
models
modelsPublic
    
Off-the-shelf models for a variety of domains

    Python
23

29

  6. 
demos
demosPublic
    
Demos and Tutorials with Ivy

    Jupyter Notebook
18

58


Repositories

Showing 10 of 20 repositories
View all repositories
Top languages
Loading…
Most used topics
Loading…

, '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
@ivy-llc

ivy

Convert Machine Learning Code Between Frameworks
README.md
Website
Website		Docs
Docs		Demos
Demos		Design
Design		FAQ
FAQ


Convert Machine Learning Code Between Frameworks
Ivy enables you to:
  • Convert ML models, tools and libraries between frameworks while maintaining complete functionality using ivy.transpile
  • Create optimized graph-based models and functions in any native framework (PyTorch, TensorFlow, etc..) with ivy.trace_graph

Get started
You can find Ivy's documentation on the Docs page, which includes:
  • Motivation: This contextualizes the problem Ivy is trying to solve by going over

  • Related Work: Which paints a picture of the role Ivy plays in the ML stack, comparing it to other existing solutions in terms of functionalities and abstraction level.
  • Design: A user-focused guide about the design decision behind the architecture and the main building blocks of Ivy.
  • Deep Dive: Which delves deeper into the implementation details of Ivy and is oriented towards potential contributors to the code base.

Contributing
We believe that everyone can contribute and make a difference. Whether
it's writing code, fixing bugs, or simply sharing feedback,
your contributions are definitely welcome and appreciated 🙌
Check out all of our Open Tasks,
and find out more info in our Contributing guide
in the docs! Or to immediately dive into a useful task, look for any failing tests on our Test Dashboard!

Community


Join our growing community on a mission to make conversions between frameworks simple and accessible to all!
Whether you are a seasoned developer or just starting out, you'll find a place here! Join the Ivy community on
our Discord 👾 server, which is the
perfect place to ask questions, share ideas, and get help from both
fellow developers and the Ivy Team directly.
 See you there! 

Popular repositories
Loading
  1. 
vision
visionPublic
    
3D Vision functions with end-to-end support for deep learning developers, written in Ivy.

    Python
72

18

  2. 
gym
gymPublic
    
Fully differentiable RL environments, written in Ivy.

    Python
66

9

  3. 
robot
robotPublic
    
Functions and classes for gradient-based robot motion planning, written in Ivy.

    Python
50

10

  4. 
memory
memoryPublic
    
Differentiable memory modules for machine learning with Ivy

    Python
38

10

  5. 
models
modelsPublic
    
Off-the-shelf models for a variety of domains

    Python
23

29

  6. 
demos
demosPublic
    
Demos and Tutorials with Ivy

    Jupyter Notebook
18

58


Repositories

Showing 10 of 20 repositories
View all repositories
Top languages
Loading…
Most used topics
Loading…

, '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
@ivy-llc

ivy

Convert Machine Learning Code Between Frameworks
README.md
Website
Website		Docs
Docs		Demos
Demos		Design
Design		FAQ
FAQ


Convert Machine Learning Code Between Frameworks
Ivy enables you to:
  • Convert ML models, tools and libraries between frameworks while maintaining complete functionality using ivy.transpile
  • Create optimized graph-based models and functions in any native framework (PyTorch, TensorFlow, etc..) with ivy.trace_graph

Get started
You can find Ivy's documentation on the Docs page, which includes:
  • Motivation: This contextualizes the problem Ivy is trying to solve by going over

  • Related Work: Which paints a picture of the role Ivy plays in the ML stack, comparing it to other existing solutions in terms of functionalities and abstraction level.
  • Design: A user-focused guide about the design decision behind the architecture and the main building blocks of Ivy.
  • Deep Dive: Which delves deeper into the implementation details of Ivy and is oriented towards potential contributors to the code base.

Contributing
We believe that everyone can contribute and make a difference. Whether
it's writing code, fixing bugs, or simply sharing feedback,
your contributions are definitely welcome and appreciated 🙌
Check out all of our Open Tasks,
and find out more info in our Contributing guide
in the docs! Or to immediately dive into a useful task, look for any failing tests on our Test Dashboard!

Community


Join our growing community on a mission to make conversions between frameworks simple and accessible to all!
Whether you are a seasoned developer or just starting out, you'll find a place here! Join the Ivy community on
our Discord 👾 server, which is the
perfect place to ask questions, share ideas, and get help from both
fellow developers and the Ivy Team directly.
 See you there! 

Popular repositories
Loading
  1. 
vision
visionPublic
    
3D Vision functions with end-to-end support for deep learning developers, written in Ivy.

    Python
72

18

  2. 
gym
gymPublic
    
Fully differentiable RL environments, written in Ivy.

    Python
66

9

  3. 
robot
robotPublic
    
Functions and classes for gradient-based robot motion planning, written in Ivy.

    Python
50

10

  4. 
memory
memoryPublic
    
Differentiable memory modules for machine learning with Ivy

    Python
38

10

  5. 
models
modelsPublic
    
Off-the-shelf models for a variety of domains

    Python
23

29

  6. 
demos
demosPublic
    
Demos and Tutorials with Ivy

    Jupyter Notebook
18

58


Repositories

Showing 10 of 20 repositories
View all repositories
Top languages
Loading…
Most used topics
Loading…

, '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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@ivy-llc

ivy

Convert Machine Learning Code Between Frameworks
README.md
Website
Website		Docs
Docs		Demos
Demos		Design
Design		FAQ
FAQ


Convert Machine Learning Code Between Frameworks
Ivy enables you to:
  • Convert ML models, tools and libraries between frameworks while maintaining complete functionality using ivy.transpile
  • Create optimized graph-based models and functions in any native framework (PyTorch, TensorFlow, etc..) with ivy.trace_graph

Get started
You can find Ivy's documentation on the Docs page, which includes:
  • Motivation: This contextualizes the problem Ivy is trying to solve by going over

  • Related Work: Which paints a picture of the role Ivy plays in the ML stack, comparing it to other existing solutions in terms of functionalities and abstraction level.
  • Design: A user-focused guide about the design decision behind the architecture and the main building blocks of Ivy.
  • Deep Dive: Which delves deeper into the implementation details of Ivy and is oriented towards potential contributors to the code base.

Contributing
We believe that everyone can contribute and make a difference. Whether
it's writing code, fixing bugs, or simply sharing feedback,
your contributions are definitely welcome and appreciated 🙌
Check out all of our Open Tasks,
and find out more info in our Contributing guide
in the docs! Or to immediately dive into a useful task, look for any failing tests on our Test Dashboard!

Community


Join our growing community on a mission to make conversions between frameworks simple and accessible to all!
Whether you are a seasoned developer or just starting out, you'll find a place here! Join the Ivy community on
our Discord 👾 server, which is the
perfect place to ask questions, share ideas, and get help from both
fellow developers and the Ivy Team directly.
 See you there! 

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