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Refreshes Retype-generated documentation.

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2023-05-30 00:59:50 +00:00
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commit 97fea44d81
25 changed files with 163 additions and 179 deletions
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<head>
<meta charset="UTF-8">
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<meta name="generator" content="Retype 3.0.0">
@@ -31,11 +31,11 @@
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<link href="../static/favicon.ico" rel="icon" />
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</head>
<body>
<div id="docs-app" class="relative text-base antialiased text-gray-700 bg-white font-body dark:bg-dark-850 dark:text-dark-300">
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<span>Developer Tools</span>
</h1>
</doc-anchor-target>
<p><strong><a href="https://i.ibb.co/jHY8NJS/2c8b8d51f41c.png">Table of Contents</a></strong> - For mobile users</p>
<p><strong><a href="https://ibb.co/PNpR2p1">Table of Contents</a></strong> - For mobile users</p>
<hr />
<doc-anchor-target id="learning--cheat-sheets">
<h2>
@@ -1646,6 +1646,36 @@ or <a href="https://en.cppreference.com/w/">cppreference</a> - C++ Cheatsheets</
<li><a href="https://ipinfo.io/">ipinfo.io</a> - IP Data API</li>
<li><a href="https://thecatapi.com/">TheCatAPI</a> - Cat Rating API</li>
<li><a href="https://pipedream.com/apps/swapi">SWAPI</a> - Star Wars APIs</li>
</ul>
<doc-anchor-target id="machine-learning-1">
<h3>
<doc-anchor-trigger class="header-anchor-trigger" to="#machine-learning-1">#</doc-anchor-trigger>
<span>Machine Learning</span>
</h3>
</doc-anchor-target>
<ul>
<li><span class="docs-emoji">&#x2B50;</span> <strong><a href="https://github.com/Nachimak28/awesome-list-of-awesomes">awesome-list-of-awesomes</a></strong>, <a href="https://github.com/underlines/awesome-marketing-datascience/">awesome-marketing-datascience</a>, <a href="https://github.com/imaurer/awesome-decentralized-llm">awesome-decentralized-llm</a>, <a href="https://local-llm.cybercowboy.de">CyberCowboy</a> or <a href="https://github.com/tunguz/ML_Resources">ML_Resources</a> - Machine Learning Resources</li>
<li><a href="https://www.catalyzex.com/">Catalyzex</a> or <a href="https://paperswithcode.com/">PapersWithCode</a> - Search Machine Learning Models / Papers</li>
<li><a href="https://github.com/firmai/awesome-google-colab">awesome-google-colab</a> - Machine Learning Colabs</li>
<li><a href="https://github.com/nat/openplayground">OpenAIPlayground</a></li>
<li><a href="https://www.openml.org/">OpenML</a> or <a href="https://huggingface.co/">Hugging Face</a> - Machine Learning Datasets</li>
<li><a href="https://dvc.org/">DVC</a> - Machine Learning Version Control</li>
<li><a href="https://github.com/microsoft/DeepSpeed">DeepSpeed</a> - Deep Learning Optimization Library</li>
<li><a href="https://teachablemachine.withgoogle.com/">TeachableMachine</a> or <a href="https://www.tensorflow.org/">TensorFlow</a> - Create Machine Learning Models</li>
<li><a href="https://github.com/lutzroeder/netron">Netron</a> - Visualizer for Neural Network, Deep Learning, and Machine Learning Models</li>
<li><a href="https://cyberbotics.com/">Cyberbotics</a> - Robot Simulator</li>
<li><a href="https://huggingface.co/datasets/tatsu-lab/alpaca">Dataset Card for Alpaca</a> or <a href="https://github.com/yaodongC/awesome-instruction-dataset">awesome-instruction-dataset</a> - Language Model Training Datasets</li>
<li><a href="https://github.com/thunlp/PromptPapers">PromptPapers</a> - Pre-Trained Language Model Tuning Papers</li>
<li><a href="https://github.com/slundberg/shap">Shap</a> - Language Model Response Analyzer</li>
<li><a href="https://github.com/hwchase17/langchain">Langchain</a> - Build Apps via LLM</li>
<li><a href="https://github.com/zilliztech/GPTCache">GPTCache</a> - LLM Response Cache</li>
<li><a href="https://github.com/josephmisiti/awesome-machine-learning">Awesome Machine Learning</a> or <a href="https://www.opennn.net/">OpenNN</a> / <a href="https://github.com/Artelnics/OpenNN">Git</a> - Machine Learning Framework</li>
<li><a href="https://github.com/Avik-Jain/100-Days-Of-ML-Code">100-Days-Of-ML-Code</a> or <a href="https://course.fast.ai/">Practical Deep Learning</a> - Machine Learning Coding Lessons</li>
<li><a href="https://nixified.ai/">Nixified</a> - Nix Flake for AI Projects</li>
<li><a href="https://github.com/abhishekkrthakur/approachingalmost/blob/master/AAAMLP.pdf">Approaching (Almost) Any Machine Learning Problem</a> - Machine Learning Problem Solving Book</li>
<li><a href="https://metacademy.org/">MetaAcademy</a> - Machine Learning Guides</li>
<li><a href="https://github.com/dair-ai/ML-YouTube-Courses">ML-Youtube-Courses</a> - Machine Learning Courses on YouTube</li>
<li><a href="https://github.com/dair-ai/ML-Course-Notes">ML Course Notes</a> - Machine Learning Course Notes</li>
</ul>