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industry-machine-learning 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
krasserm / bayesian-machine-learning
bayesian-machine-learning
Notebooks about Bayesian methods for machine learning
bayesian-machine-learning 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。
目前累计 1.9k star、473 fork，主要语言为 Jupyter Notebook，项目始于 2018 年，采用 Apache-2.0 许可。最近状态：近半年有提交。适合：想补齐某块知识的开发者。
中文介绍优先采用本站人工维护条目；无维护条目时依据 GitHub 公开字段（语言、主题、星标、提交时间）自动生成，未经项目方确认，不构成选型结论。krasserm/bayesian-machine-learning 是一个以 Jupyter Notebook 为主的开源项目，目前累计 1.9k star、473 fork，近半年有提交。主要方向：bayesian-machine-learning、bayesian-methods、bayesian-optimization、gaussian-processes、machine-learning、variational-autoencoder。
依据 GitHub 公开字段（语言、主题、星标、提交时间）自动生成，未经人工逐项核实。bayesian-machine-learningbayesian-methodsbayesian-optimizationgaussian-processesmachine-learningvariational-autoencoder
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Book_3_《数学要素》 | 鸢尾花书：从加减乘除到机器学习；上架；欢迎继续纠错，纠错多的同学还会有赠书！
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evidently 是用 Jupyter Notebook 编写的 AI 工具，用于大模型与智能体应用开发，主打开源免费。
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular d…
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Machine-Learning-Specialization-Coursera 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
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Build your neural network easy and fast, 莫烦Python中文教学
Build your neural network easy and fast, 莫烦Python中文教学
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Interview = 简历指南 + 算法题 + 八股文 + 源码分析
Interview = 简历指南 + 算法题 + 八股文 + 源码分析