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Welcome to the Model Garden for TensorFlow

The TensorFlow Model Garden is a repository with a number of different implementations of state-of-the-art (SOTA) models and modeling solutions for TensorFlow users. We aim to demonstrate the best practices for modeling so that TensorFlow users can take full advantage of TensorFlow for their research and product development.

DirectoryDescription
official• A collection of example implementations for SOTA models using the latest TensorFlow 2's high-level APIs
• Officially maintained, supported, and kept up to date with the latest TensorFlow 2 APIs by TensorFlow
• Reasonably optimized for fast performance while still being easy to read
research• A collection of research model implementations in TensorFlow 1 or 2 by researchers
• Maintained and supported by researchers
community• A curated list of the GitHub repositories with machine learning models and implementations powered by TensorFlow 2
orbit• A flexible and lightweight library that users can easily use or fork when writing customized training loop code in TensorFlow 2.x. It seamlessly integrates with tf.distribute and supports running on different device types (CPU, GPU, and TPU).

Announcements

DateNews
July 10, 2020TensorFlow 2 meets the Object Detection API (Blog)
June 30, 2020SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization released (Tweet)
June 17, 2020Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection released (Tweet)
May 21, 2020Unifying Deep Local and Global Features for Image Search (DELG) code released
May 19, 2020MobileDets: Searching for Object Detection Architectures for Mobile Accelerators released
May 7, 2020MnasFPN with MobileNet-V2 backbone released for object detection
May 1, 2020DELF: DEep Local Features updated to support TensorFlow 2.1
March 31, 2020Introducing the Model Garden for TensorFlow 2 (Tweet)

Contributions

help wanted:paper implementation

If you want to contribute, please review the contribution guidelines.

License

Apache License 2.0

About

Models and examples built with TensorFlow

Resources

Readme
Apache-2.0 license

Contributing

Contributing
Activity

Stars

0 stars

Watchers

0 watching

Forks

0 forks
Report repository

Releases

Packages

Contributors

Languages

, '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
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Welcome to the Model Garden for TensorFlow
The TensorFlow Model Garden is a repository with a number of different implementations of state-of-the-art (SOTA) models and modeling solutions for TensorFlow users. We aim to demonstrate the best practices for modeling so that TensorFlow users
can take full advantage of TensorFlow for their research and product development.
DirectoryDescription
official• A collection of example implementations for SOTA models using the latest TensorFlow 2's high-level APIs
• Officially maintained, supported, and kept up to date with the latest TensorFlow 2 APIs by TensorFlow
• Reasonably optimized for fast performance while still being easy to read
research• A collection of research model implementations in TensorFlow 1 or 2 by researchers
• Maintained and supported by researchers
community• A curated list of the GitHub repositories with machine learning models and implementations powered by TensorFlow 2
orbit• A flexible and lightweight library that users can easily use or fork when writing customized training loop code in TensorFlow 2.x. It seamlessly integrates with tf.distribute and supports running on different device types (CPU, GPU, and TPU).
Announcements
DateNews
July 10, 2020TensorFlow 2 meets the Object Detection API (Blog)
June 30, 2020SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization released (Tweet)
June 17, 2020Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection released (Tweet)
May 21, 2020Unifying Deep Local and Global Features for Image Search (DELG) code released
May 19, 2020MobileDets: Searching for Object Detection Architectures for Mobile Accelerators released
May 7, 2020MnasFPN with MobileNet-V2 backbone released for object detection
May 1, 2020DELF: DEep Local Features updated to support TensorFlow 2.1
March 31, 2020Introducing the Model Garden for TensorFlow 2 (Tweet)
Contributions
help wanted:paper implementation
If you want to contribute, please review the contribution guidelines.
License
Apache License 2.0
About
Models and examples built with TensorFlow
Resources
Readme
Apache-2.0 license
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, '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
BranchesTags
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Logo
Welcome to the Model Garden for TensorFlow
The TensorFlow Model Garden is a repository with a number of different implementations of state-of-the-art (SOTA) models and modeling solutions for TensorFlow users. We aim to demonstrate the best practices for modeling so that TensorFlow users
can take full advantage of TensorFlow for their research and product development.
DirectoryDescription
official• A collection of example implementations for SOTA models using the latest TensorFlow 2's high-level APIs
• Officially maintained, supported, and kept up to date with the latest TensorFlow 2 APIs by TensorFlow
• Reasonably optimized for fast performance while still being easy to read
research• A collection of research model implementations in TensorFlow 1 or 2 by researchers
• Maintained and supported by researchers
community• A curated list of the GitHub repositories with machine learning models and implementations powered by TensorFlow 2
orbit• A flexible and lightweight library that users can easily use or fork when writing customized training loop code in TensorFlow 2.x. It seamlessly integrates with tf.distribute and supports running on different device types (CPU, GPU, and TPU).
Announcements
DateNews
July 10, 2020TensorFlow 2 meets the Object Detection API (Blog)
June 30, 2020SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization released (Tweet)
June 17, 2020Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection released (Tweet)
May 21, 2020Unifying Deep Local and Global Features for Image Search (DELG) code released
May 19, 2020MobileDets: Searching for Object Detection Architectures for Mobile Accelerators released
May 7, 2020MnasFPN with MobileNet-V2 backbone released for object detection
May 1, 2020DELF: DEep Local Features updated to support TensorFlow 2.1
March 31, 2020Introducing the Model Garden for TensorFlow 2 (Tweet)
Contributions
help wanted:paper implementation
If you want to contribute, please review the contribution guidelines.
License
Apache License 2.0
About
Models and examples built with TensorFlow
Resources
Readme
Apache-2.0 license
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, '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
BranchesTags
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Logo
Welcome to the Model Garden for TensorFlow
The TensorFlow Model Garden is a repository with a number of different implementations of state-of-the-art (SOTA) models and modeling solutions for TensorFlow users. We aim to demonstrate the best practices for modeling so that TensorFlow users
can take full advantage of TensorFlow for their research and product development.
DirectoryDescription
official• A collection of example implementations for SOTA models using the latest TensorFlow 2's high-level APIs
• Officially maintained, supported, and kept up to date with the latest TensorFlow 2 APIs by TensorFlow
• Reasonably optimized for fast performance while still being easy to read
research• A collection of research model implementations in TensorFlow 1 or 2 by researchers
• Maintained and supported by researchers
community• A curated list of the GitHub repositories with machine learning models and implementations powered by TensorFlow 2
orbit• A flexible and lightweight library that users can easily use or fork when writing customized training loop code in TensorFlow 2.x. It seamlessly integrates with tf.distribute and supports running on different device types (CPU, GPU, and TPU).
Announcements
DateNews
July 10, 2020TensorFlow 2 meets the Object Detection API (Blog)
June 30, 2020SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization released (Tweet)
June 17, 2020Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection released (Tweet)
May 21, 2020Unifying Deep Local and Global Features for Image Search (DELG) code released
May 19, 2020MobileDets: Searching for Object Detection Architectures for Mobile Accelerators released
May 7, 2020MnasFPN with MobileNet-V2 backbone released for object detection
May 1, 2020DELF: DEep Local Features updated to support TensorFlow 2.1
March 31, 2020Introducing the Model Garden for TensorFlow 2 (Tweet)
Contributions
help wanted:paper implementation
If you want to contribute, please review the contribution guidelines.
License
Apache License 2.0
About
Models and examples built with TensorFlow
Resources
Readme
Apache-2.0 license
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, '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
BranchesTags
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Logo
Welcome to the Model Garden for TensorFlow
The TensorFlow Model Garden is a repository with a number of different implementations of state-of-the-art (SOTA) models and modeling solutions for TensorFlow users. We aim to demonstrate the best practices for modeling so that TensorFlow users
can take full advantage of TensorFlow for their research and product development.
DirectoryDescription
official• A collection of example implementations for SOTA models using the latest TensorFlow 2's high-level APIs
• Officially maintained, supported, and kept up to date with the latest TensorFlow 2 APIs by TensorFlow
• Reasonably optimized for fast performance while still being easy to read
research• A collection of research model implementations in TensorFlow 1 or 2 by researchers
• Maintained and supported by researchers
community• A curated list of the GitHub repositories with machine learning models and implementations powered by TensorFlow 2
orbit• A flexible and lightweight library that users can easily use or fork when writing customized training loop code in TensorFlow 2.x. It seamlessly integrates with tf.distribute and supports running on different device types (CPU, GPU, and TPU).
Announcements
DateNews
July 10, 2020TensorFlow 2 meets the Object Detection API (Blog)
June 30, 2020SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization released (Tweet)
June 17, 2020Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection released (Tweet)
May 21, 2020Unifying Deep Local and Global Features for Image Search (DELG) code released
May 19, 2020MobileDets: Searching for Object Detection Architectures for Mobile Accelerators released
May 7, 2020MnasFPN with MobileNet-V2 backbone released for object detection
May 1, 2020DELF: DEep Local Features updated to support TensorFlow 2.1
March 31, 2020Introducing the Model Garden for TensorFlow 2 (Tweet)
Contributions
help wanted:paper implementation
If you want to contribute, please review the contribution guidelines.
License
Apache License 2.0
About
Models and examples built with TensorFlow
Resources
Readme
Apache-2.0 license
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, '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
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Logo
Welcome to the Model Garden for TensorFlow
The TensorFlow Model Garden is a repository with a number of different implementations of state-of-the-art (SOTA) models and modeling solutions for TensorFlow users. We aim to demonstrate the best practices for modeling so that TensorFlow users
can take full advantage of TensorFlow for their research and product development.
DirectoryDescription
official• A collection of example implementations for SOTA models using the latest TensorFlow 2's high-level APIs
• Officially maintained, supported, and kept up to date with the latest TensorFlow 2 APIs by TensorFlow
• Reasonably optimized for fast performance while still being easy to read
research• A collection of research model implementations in TensorFlow 1 or 2 by researchers
• Maintained and supported by researchers
community• A curated list of the GitHub repositories with machine learning models and implementations powered by TensorFlow 2
orbit• A flexible and lightweight library that users can easily use or fork when writing customized training loop code in TensorFlow 2.x. It seamlessly integrates with tf.distribute and supports running on different device types (CPU, GPU, and TPU).
Announcements
DateNews
July 10, 2020TensorFlow 2 meets the Object Detection API (Blog)
June 30, 2020SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization released (Tweet)
June 17, 2020Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection released (Tweet)
May 21, 2020Unifying Deep Local and Global Features for Image Search (DELG) code released
May 19, 2020MobileDets: Searching for Object Detection Architectures for Mobile Accelerators released
May 7, 2020MnasFPN with MobileNet-V2 backbone released for object detection
May 1, 2020DELF: DEep Local Features updated to support TensorFlow 2.1
March 31, 2020Introducing the Model Garden for TensorFlow 2 (Tweet)
Contributions
help wanted:paper implementation
If you want to contribute, please review the contribution guidelines.
License
Apache License 2.0
About
Models and examples built with TensorFlow
Resources
Readme
Apache-2.0 license
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, '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
BranchesTags
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Logo
Welcome to the Model Garden for TensorFlow
The TensorFlow Model Garden is a repository with a number of different implementations of state-of-the-art (SOTA) models and modeling solutions for TensorFlow users. We aim to demonstrate the best practices for modeling so that TensorFlow users
can take full advantage of TensorFlow for their research and product development.
DirectoryDescription
official• A collection of example implementations for SOTA models using the latest TensorFlow 2's high-level APIs
• Officially maintained, supported, and kept up to date with the latest TensorFlow 2 APIs by TensorFlow
• Reasonably optimized for fast performance while still being easy to read
research• A collection of research model implementations in TensorFlow 1 or 2 by researchers
• Maintained and supported by researchers
community• A curated list of the GitHub repositories with machine learning models and implementations powered by TensorFlow 2
orbit• A flexible and lightweight library that users can easily use or fork when writing customized training loop code in TensorFlow 2.x. It seamlessly integrates with tf.distribute and supports running on different device types (CPU, GPU, and TPU).
Announcements
DateNews
July 10, 2020TensorFlow 2 meets the Object Detection API (Blog)
June 30, 2020SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization released (Tweet)
June 17, 2020Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection released (Tweet)
May 21, 2020Unifying Deep Local and Global Features for Image Search (DELG) code released
May 19, 2020MobileDets: Searching for Object Detection Architectures for Mobile Accelerators released
May 7, 2020MnasFPN with MobileNet-V2 backbone released for object detection
May 1, 2020DELF: DEep Local Features updated to support TensorFlow 2.1
March 31, 2020Introducing the Model Garden for TensorFlow 2 (Tweet)
Contributions
help wanted:paper implementation
If you want to contribute, please review the contribution guidelines.
License
Apache License 2.0
About
Models and examples built with TensorFlow
Resources
Readme
Apache-2.0 license
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, '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
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Logo
Welcome to the Model Garden for TensorFlow
The TensorFlow Model Garden is a repository with a number of different implementations of state-of-the-art (SOTA) models and modeling solutions for TensorFlow users. We aim to demonstrate the best practices for modeling so that TensorFlow users
can take full advantage of TensorFlow for their research and product development.
DirectoryDescription
official• A collection of example implementations for SOTA models using the latest TensorFlow 2's high-level APIs
• Officially maintained, supported, and kept up to date with the latest TensorFlow 2 APIs by TensorFlow
• Reasonably optimized for fast performance while still being easy to read
research• A collection of research model implementations in TensorFlow 1 or 2 by researchers
• Maintained and supported by researchers
community• A curated list of the GitHub repositories with machine learning models and implementations powered by TensorFlow 2
orbit• A flexible and lightweight library that users can easily use or fork when writing customized training loop code in TensorFlow 2.x. It seamlessly integrates with tf.distribute and supports running on different device types (CPU, GPU, and TPU).
Announcements
DateNews
July 10, 2020TensorFlow 2 meets the Object Detection API (Blog)
June 30, 2020SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization released (Tweet)
June 17, 2020Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection released (Tweet)
May 21, 2020Unifying Deep Local and Global Features for Image Search (DELG) code released
May 19, 2020MobileDets: Searching for Object Detection Architectures for Mobile Accelerators released
May 7, 2020MnasFPN with MobileNet-V2 backbone released for object detection
May 1, 2020DELF: DEep Local Features updated to support TensorFlow 2.1
March 31, 2020Introducing the Model Garden for TensorFlow 2 (Tweet)
Contributions
help wanted:paper implementation
If you want to contribute, please review the contribution guidelines.
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Models and examples built with TensorFlow
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