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Search: Machine_Learning_Code
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Showing 10 results from 1,116
johnmyleswhite/ML_for_Hackers
GitHub RCode accompanying the book "Machine Learning for Hackers"
External source
GitHub
ml-tooling/opyrator
GitHub Python MIT License🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.
External source
GitHub
nidhaloff/igel
GitHub Python MIT Licensea delightful machine learning tool that allows you to train, test, and use models without writing code
External source
GitHub
cirosantilli/china-dictatorship
GitHub HTML Creative Commons Attribution Share Alike 4.0 International反中共政治宣传库。Anti Chinese government propaganda. 住在中国真名用户的网友请别给星星，不然你要被警察请喝茶。常见问答集，新闻集和饭店和音乐建议。卐习万岁卐。冠状病毒审查郝海东新疆改造中心六四事件法轮功 996.ICU709大抓捕巴拿马文件邓家贵低端人口西藏骚乱。Friends who live in China and have real name on account, please don't star this repo, or else the police might pay you a visit. Home to the mega-F... Read more
External source
GitHub
paperswithcode/releasing-research-code
GitHub MIT LicenseTips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
External source
GitHub
gerdm/prml
GitHub Jupyter Notebook GNU Affero General Public License v3.0Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
External source
GitHub
GoogleCloudPlatform/asl-ml-immersion
GitHub Jupyter Notebook Apache License 2.0Notebooks, code samples and reference for machine learning and generative ai on Google Cloud for the Advanced Solutions Lab (ASL) bootcamps.
External source
GitHub
jiqizhixin/ML-Tutorial-Experiment
GitHub Jupyter NotebookCoding the Machine Learning Tutorial for Learning to Learn
External source
GitHub
metarank/metarank
GitHub Scala Apache License 2.0A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine
External source
GitHub
pbharrin/machinelearninginaction
GitHub HTMLSource Code for the book: Machine Learning in Action published by Manning
External source
GitHub
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