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Refreshes Retype-generated documentation.

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Retype GitHub Action
2023-07-23 12:19:45 +00:00
parent b40e17824f
commit 8de7e6e8fc
26 changed files with 117 additions and 137 deletions
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@@ -3,7 +3,7 @@
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width,initial-scale=1">
<meta name="turbo-cache-control" content="no-cache" data-turbo-track="reload" data-track-token="3.0.3.743422220878">
<meta name="turbo-cache-control" content="no-cache" data-turbo-track="reload" data-track-token="3.0.3.743429956097">
<!-- See retype.com -->
<meta name="generator" content="Retype 3.0.3">
@@ -31,11 +31,11 @@
<script>(function () { var el = document.documentElement, m = localStorage.getItem("doc_theme"), wm = window.matchMedia; if (m === "dark" || (!m && wm && wm("(prefers-color-scheme: dark)").matches)) { el.classList.add("dark") } else { el.classList.remove("dark") } })();</script>
<link href="../static/favicon.ico" rel="icon" />
<link href="../resources/css/retype.css?v=3.0.3.743422220878" rel="stylesheet" />
<link href="../resources/css/retype.css?v=3.0.3.743429956097" rel="stylesheet" />
<script type="text/javascript" src="../resources/js/config.js?v=3.0.3.743422220878" data-turbo-eval="false" defer></script>
<script type="text/javascript" src="../resources/js/config.js?v=3.0.3.743429956097" data-turbo-eval="false" defer></script>
<script type="text/javascript" src="../resources/js/retype.js?v=3.0.3" data-turbo-eval="false" defer></script>
<script id="lunr-js" type="text/javascript" src="../resources/js/lunr.js?v=3.0.3.743422220878" data-turbo-eval="false" defer></script>
<script id="lunr-js" type="text/javascript" src="../resources/js/lunr.js?v=3.0.3.743429956097" data-turbo-eval="false" defer></script>
<script defer data-domain="fmhy.pages.dev" src="https://a.bignutty.xyz/js/script.js"></script>
<link rel="stylesheet" href="static/styles.css">
@@ -1632,7 +1632,6 @@ or <a href="https://en.cppreference.com/w/">cppreference</a> - C++ Cheatsheets</
<li><span class="docs-emoji">&#x2B50;</span> <strong><a href="https://github.com/josephmisiti/awesome-machine-learning">Awesome Machine Learning</a></strong>, <a href="https://caffe.berkeleyvision.org/">Caffee</a> / <a href="https://github.com/BVLC/caffe">Git</a>, <a href="https://github.com/TransformerOptimus/SuperAGI">SuperAGI</a> or <a href="https://www.opennn.net/">OpenNN</a> / <a href="https://github.com/Artelnics/OpenNN">Git</a> - Machine Learning Frameworks</li>
<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.tensorflow.org/">TensorFlow</a> - Create Machine Learning Models</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://dvc.org/">DVC</a> - Machine Learning Version Control</li>
@@ -1642,7 +1641,6 @@ or <a href="https://en.cppreference.com/w/">cppreference</a> - C++ Cheatsheets</
<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://github.com/scikit-learn/scikit-learn">Scikit Learn</a> - Machine Learning Library for Python</li>
<li><a href="https://github.com/vibertthio/awesome-machine-learning-art">Awesome Machine Learning Art</a> - Machine Learning Art Resource Index</li>
<li><a href="https://www.catalyzex.com/">Catalyzex</a>, <a href="https://feedly.com/ai">Feedly AI</a> or <a href="https://paperswithcode.com/">PapersWithCode</a> - Search Machine Learning Models / Papers</li>
<li><a href="https://kobra.dev/">Kobra</a> - Visual Programming Language for Machine Learning</li>
<li><a href="https://dvc.org/">DVC</a> - Machine Learning Version Control</li>
<li><a href="https://github.com/microsoft/DialoGPT">DialoGPT</a> - Dialogue Machine Learning Model</li>
@@ -1651,12 +1649,12 @@ or <a href="https://en.cppreference.com/w/">cppreference</a> - C++ Cheatsheets</
<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/mlc-ai/mlc-llm">MLC LLM</a> - Native Language Model Deployment</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/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 Frameworks</li>
<li><a href="https://opencog.org/">OpenCog</a> or <a href="https://github.com/andrewkirillov/AForge.NET">AForge</a> - Artificial Intelligence Frameworks</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>
@@ -1667,6 +1665,7 @@ or <a href="https://en.cppreference.com/w/">cppreference</a> - C++ Cheatsheets</
<li><a href="https://github.com/minitorch/minitorch">minitorch</a> - Machine Learning Engineering Course Code</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://github.com/dair-ai/ML-YouTube-Courses">ML-Youtube-Courses</a> - Machine Learning Courses on YouTube</li>
<li><a href="https://www.catalyzex.com/">Catalyzex</a>, <a href="https://feedly.com/ai">Feedly AI</a>, <a href="https://paperswithcode.com/">PapersWithCode</a>, <a href="https://docs.google.com/document/d/1bEQM1W-1fzSVWNbS4ne5PopB2b7j8zD4Jc3nm4rbK-U/">AI Reading List</a>, <a href="https://www.ai-rnd.com/">AI RND</a> or <a href="https://huggingface.co/papers">Daily Papers</a> - AI Research Papers</li>
<li><a href="https://github.com/thunlp/PromptPapers">PromptPapers</a> - Pre-Trained Language Model Tuning Papers</li>
</ul>