从 65,750 个高星开源项目里，
找到你要的下一个。

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

Teaching Materials for Dr. Waleed A. Yousef

what-if-tool 是用 HTML 编写的学习资料，用于系统学习与查阅。

Source code/webpage/demos for the What-If Tool

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

Central place for the engineering/scaling WG: documentation, SLURM scripts and logs, compute environment and data.

imglab 是用 HTML 编写的学习资料，用于系统学习与查阅。

To speedup and simplify image labeling/ annotation process with multiple supported formats.

pyGAM 是用 Python 编写的学习资料，用于系统学习与查阅。

[CONTRIBUTORS WELCOME] Generalized Additive Models in Python

similarity 是用 Python 编写的学习资料，用于系统学习与查阅，主打速度快、易用。

TensorFlow Similarity is a python package focused on making similarity learning quick and easy.

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

A benchmark environment for fully cooperative human-AI performance.

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

A central, open resource for data and tools related to chain-of-thought reasoning in large language models. Developed @ Samwald research group: http…

framework 是用 Rust 编写的学习资料，用于系统学习与查阅。

A machine learning library with a TypeScript API and Rust backend. CUDA and WebGPU compatibility. Built to understand how ML frameworks and models w…

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

Python package for graph statistics

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

Detects reggaeton genre with Machine Learning and sends packets to disable BT speakers (hopefully)

The-Little-Book-of-ML-Metrics 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。

The book every data scientist needs on their desk.

allRank 是用 Python 编写的学习资料，用于系统学习与查阅。

allRank is a framework for training learning-to-rank neural models based on PyTorch.

Machine-Learning-Links-And-Lessons-Learned 是一个学习资料，用于系统学习与查阅。

List of all the lessons learned, best practices, and links from my time studying machine learning

AI-ML-Cheatsheets 是一个 AI 工具，用于人工智能方向的建模与推理。

All Stanford Cheatsheets: Artificial Intelligence, Transformers, LLMs, Deep Learning, Machine Learning, Probabilities, Statistics, Algebra and Calcu…

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

Everything you need about Active Learning (AL).

giotto-tda 是用 Python 编写的学习资料，用于系统学习与查阅，主打高性能。

A high-performance topological machine learning toolbox in Python

just-pandas-things 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。

An ongoing list of pandas quirks

awesome-algorithmic-trading 是一个交易类项目，用于商城、支付与交易场景。

A curated list of awesome algorithmic trading frameworks, libraries, software and resources

Time-MoE 是用 Python 编写的学习资料，用于系统学习与查阅。

[ICLR 2025 Spotlight] Official implementation of "Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts"

sematic 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理，主打开源免费。

An open-source ML pipeline development platform

nativescript-plugin-firebase 是用 TypeScript 编写的学习资料，用于系统学习与查阅。

:fire: NativeScript plugin for Firebase

langkit 是用 Jupyter Notebook 编写的 AI 工具，用于大模型与智能体应用开发，主打功能完整、注重安全、开源免费。

🔍 LangKit: An open-source toolkit for monitoring Large Language Models (LLMs). 📚 Extracts signals from prompts & responses, ensuring safety & secu…