★
amazon-sagemaker-examples 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
CamDavidsonPilon / Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers 是用 Jupyter Notebook 编写的开源项目，主题标签有限，建议打开仓库查看具体用途。
目前累计 2.8 万 star、7.9k fork，主要语言为 Jupyter Notebook，项目始于 2013 年，采用 MIT 许可。最近状态：已有一段时间未更新。适合：正在做技术选型的开发者。
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。CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers 是一个以 Jupyter Notebook 为主的开源项目，目前累计 28k star、7.9k fork，较长时间未更新。主要方向：bayesian-methods、数据科学、jupyter-notebook、mathematical-analysis、pymc、statistics。
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。README
正在加载…相关项目
★
computervision-recipes 是用 Jupyter Notebook 编写的 AI 工具，用于人工智能方向的建模与推理。
Best Practices, code samples, and documentation for Computer Vision.
★
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…
★
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)
★
handson-ml 是用 Jupyter Notebook 编写的 AI 工具，用于人工智能方向的建模与推理。
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
★
fastbook 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。
The fastai book, published as Jupyter Notebooks