从 65,730 个高星开源项目里，
找到你要的下一个。

angel 是用 Java 编写的学习资料，用于系统学习与查阅，主打功能完整、可扩展。

A Flexible and Powerful Parameter Server for large-scale machine learning

Data-Analysis-and-Machine-Learning-Projects 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

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

🎓 Sharing machine learning course / lecture notes.

awesome-machine-learning-on-source-code 是一个资源清单，按主题汇总同类优质资源。

Cool links & research papers related to Machine Learning applied to source code (MLonCode)

ml5-library 是用 JavaScript 编写的 AI 工具，用于人工智能方向的建模与推理。

Friendly machine learning for the web! 🤖

pixie 是用 C++ 编写的运维工具，用于部署、编排与监控。

Instant Kubernetes-Native Application Observability

kaggle-solutions 是用 Astro 编写的 AI 工具，用于人工智能方向的建模与推理。

🏅 Collection of Kaggle Solutions and Ideas 🏅

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

This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

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

🧮 A collection of resources to learn mathematics for machine learning

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

An adversarial example library for constructing attacks, building defenses, and benchmarking both

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

A curated list of awesome self-supervised methods

EasyPR 是用 C++ 编写的 AI 工具，用于人工智能方向的建模与推理，主打易用、可扩展。

(CGCSTCD'2017) An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations. CGCSTCD = China Graduate…

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

Natural Language Processing Best Practices & Examples

smile 是用 Java 编写的学习资料，用于系统学习与查阅。

Statistical Machine Intelligence & Learning Engine

Awesome-Prompt-Engineering 是用 TypeScript 编写的 AI 工具，用于大模型与智能体应用开发。

This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc

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

A list of popular github projects related to deep learning

serving 是用 C++ 编写的 AI 工具，用于人工智能方向的建模与推理，主打高性能、可扩展。

A flexible, high-performance serving system for machine learning models

pedalboard 是用 C++ 编写的多媒体工具，用于处理音视频内容。

🎛 🔊 A Python library for audio.

projectlearn-project-based-learning 是用 TypeScript 编写的学习资料，用于系统学习与查阅。

A curated list of project tutorials for project-based learning.

pytorch-metric-learning 是用 Python 编写的学习资料，用于系统学习与查阅，主打可扩展、实现清晰。

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT example…

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

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

TensorFlow documentation

data-science-blogs 是用 Python 编写的学习资料，用于系统学习与查阅。

A curated list of data science blogs

Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]

Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]