Stars
Python - 100天从新手到大师
21 Lessons, Get Started Building with Generative AI
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Examples and guides for using the OpenAI API
Learn how to design, develop, deploy and iterate on production-grade ML applications.
12 Weeks, 24 Lessons, AI for All!
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. The next cohort starts in January 2026. Join the course here 👇🏼
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
A game theoretic approach to explain the output of any machine learning model.
面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版
A High-Quality Real Time Upscaler for Anime Video
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
📡 Simple and ready-to-use tutorials for TensorFlow
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Your new Mentor for Data Science E-Learning.
Free MLOps course from DataTalks.Club
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
FinRL®: Financial Reinforcement Learning. 🔥
wtfpython的中文翻译/持续🚧.../ 能力有限，欢迎帮我改进翻译
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Official inference library for Mistral models
YSDA course in Natural Language Processing
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
My blogs and code for machine learning. http://cnblogs.com/pinard
Understanding Deep Learning - Simon J.D. Prince
A series of large language models trained from scratch by developers @01-ai