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cookiecutter-data-science 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理，主打可扩展。

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

sktime 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

A unified framework for machine learning with time series

tpot 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

pyod 是用 Python 编写的学习资料，用于系统学习与查阅。

A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orc…

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.

pycaret 是用 Python 编写的学习资料，用于系统学习与查阅，主打开源免费。

Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.

cudf 是用 C++ 编写的代码库，提供可直接复用的能力。

cuDF - GPU DataFrame Library

tflearn 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

Deep learning library featuring a higher-level API for TensorFlow.

darts 是用 Python 编写的学习资料，用于系统学习与查阅，主打易用。

A python library for user-friendly forecasting and anomaly detection on time series.

xgo 是用 Go 编写的学习资料，用于系统学习与查阅，主打功能完整。

XGo is a programming language that reads like plain English. But it's also incredibly powerful — it lets you leverage assets from C/C++, Go, Python,…

tsfresh 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。

Automatic extraction of relevant features from time series:

vectorbt 是用 Python 编写的学习资料，用于系统学习与查阅。

The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.

catboost 是用 C++ 编写的代码库，提供可直接复用的能力，主打高性能、速度快、可伸缩。

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learn…

machine_learning_examples 是用 Python 编写的学习资料，用于系统学习与查阅。

A collection of machine learning examples and tutorials.

mage-ai 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

🧙 Build, run, and manage data pipelines for integrating and transforming data.

vaex 是用 Python 编写的学习资料，用于系统学习与查阅。

Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

growthbook 是用 TypeScript 编写的测试工具，用于自动化测试与验证，主打开源免费。

Open Source Feature Flags, Experimentation, and Product Analytics

dowhy 是用 Python 编写的学习资料，用于系统学习与查阅。

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified langua…

DataFlow 是用 Python 编写的 AI 工具，用于大模型与智能体应用开发，主打易用。

[SIGMOD'27] Easy Data Preparation with latest LLMs-based Operators and Pipelines.

TabPFN 是用 Python 编写的学习资料，用于系统学习与查阅。

⚡ TabPFN: Foundation Model for Tabular Data ⚡

告别枯燥，致力于打造 Python 实用小例子，更多Python良心教程见 https://ai-jupyter.com

告别枯燥，致力于打造 Python 实用小例子，更多Python良心教程见 https://ai-jupyter.com

GeoLibre 是用 TypeScript 编写的桌面应用，用于桌面端程序开发，主打轻量。

A lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs in the web browser, on the desktop, on m…

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…

machine-learning-roadmap 是一个学习资料，用于系统学习与查阅。

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.