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Python Data Science Handbook: full text in Jupyter Notebooks
Learn how to develop, deploy and iterate on production-grade ML applications.
Google Research
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
100-Days-Of-ML-Code中文版
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
A High-Quality Real Time Upscaler for Anime Video
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
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。
A collection of various deep learning architectures, models, and tips
深度学习入门教程, 优秀文章, Deep Learning Tutorial
Data and code behind the articles and graphics at FiveThirtyEight
Companion webpage to the book "Mathematics For Machine Learning"
Natural Language Processing Tutorial for Deep Learning Researchers
Your new Mentor for Data Science E-Learning.
High-Resolution Image Synthesis with Latent Diffusion Models
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
wtfpython的中文翻译/持续🚧.../ 能力有限，欢迎帮我改进翻译
The "Python Machine Learning (1st edition)" book code repository and info resource
PyTorch code and models for the DINOv2 self-supervised learning method.
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Code release for NeRF (Neural Radiance Fields)
Public facing notes page
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
Interview = 简历指南 + 算法题 + 八股文 + 源码分析