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Python - 100天从新手到大师
21 Lessons, Get Started Building with Generative AI
Learn how to design, develop, deploy and iterate on production-grade ML applications.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Course Files for Complete Python 3 Bootcamp Course on Udemy
Python programs, usually short, of considerable difficulty, to perfect particular skills.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
100-Days-Of-ML-Code中文版
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
A collection of various deep learning architectures, models, and tips
《Python Cookbook》 3rd Edition Translation
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Image restoration with neural networks but without learning.
this repository accompanies the book "Grokking Deep Learning"
Visualizations for machine learning datasets
A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
利用Python进行数据分析 第二版 (2017) 中文翻译笔记
Plain python implementations of basic machine learning algorithms
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
Official content for Harvard CS109
Various ipython notebooks
Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet