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ML-For-Beginners 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

pathway 是用 Python 编写的学习资料，用于系统学习与查阅，主打实时。

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

100-Days-Of-ML-Code 是一个学习资料，用于系统学习与查阅。

100 Days of ML Coding

machine-learning-for-software-engineers 是一个 AI 工具，用于人工智能方向的建模与推理。

A complete daily plan for studying to become a machine learning engineer.

homemade-machine-learning 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

nni 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 AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression …

python-machine-learning-book 是用 Jupyter Notebook 编写的 AI 工具，用于人工智能方向的建模与推理。

The "Python Machine Learning (1st edition)" book code repository and info resource

手写实现李航《统计学习方法》书中全部算法

手写实现李航《统计学习方法》书中全部算法

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

Minimal and clean examples of machine learning algorithms implementations

AIMLInterviews 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅，主打功能完整。

A Comprehensive Guide for Generative AI, Agentic AI, Multimodal AI, Physical AI Interviews. Proven Formula for multiple FAANG offers and more

Machine-Learning-Collection 是用 Python 编写的学习资料，用于系统学习与查阅。

A resource for learning about Machine learning & Deep Learning

maths-cs-ai-compendium 是用 TypeScript 编写的学习资料，用于系统学习与查阅。

Become a cracked AI/ML researcher/engineer with this unconventional textbook covering maths, computing, and ML with intuition.

machine-learning-course 是用 Python 编写的学习资料，用于系统学习与查阅。

:speech_balloon: Machine Learning Course with Python:

PRMLT 是用 MATLAB 编写的学习资料，用于系统学习与查阅。

Matlab code of machine learning algorithms in book PRML

cuml 是用 Python 编写的学习资料，用于系统学习与查阅。

NVIDIA cuML: GPU-Accelerated Machine Learning

datascience 是一个 AI 工具，用于人工智能方向的建模与推理，主打开源免费。

This repository is a compilation of free resources for learning Data Science.

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

Plain python implementations of basic machine learning algorithms

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

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

awesome-quantum-machine-learning 是用 HTML 编写的 AI 工具，用于人工智能方向的建模与推理。

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

Book_7_《机器学习》 | 鸢尾花书：从加减乘除到机器学习；欢迎批评指正

Book_7_《机器学习》 | 鸢尾花书：从加减乘除到机器学习；欢迎批评指正

tslearn 是用 Python 编写的学习资料，用于系统学习与查阅。

The machine learning toolkit for time series analysis in Python

hdbscan 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅，主打高性能。

A high performance implementation of HDBSCAN clustering.

igel 是用 Python 编写的学习资料，用于系统学习与查阅，主打界面美观。

a delightful machine learning tool that allows you to train, test, and use models without writing code

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

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning