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Starred repositories
Python - 100天从新手到大师
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
A latent text-to-image diffusion model
Examples and guides for using the OpenAI API
Python Data Science Handbook: full text in Jupyter Notebooks
Learn how to design, develop, deploy and iterate on production-grade ML applications.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
10 Weeks, 20 Lessons, Data Science for All!
This repository is primarily maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), ar…
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
💿 Free software that works great, and also happens to be open-source Python.
A collection of various deep learning architectures, models, and tips
📡 Simple and ready-to-use tutorials for TensorFlow
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
High-Resolution Image Synthesis with Latent Diffusion Models
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.
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》)
The "Python Machine Learning (1st edition)" book code repository and info resource
Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely
《Python Cookbook》 3rd Edition Translation
Book_4_《矩阵力量》 | 鸢尾花书:从加减乘除到机器学习;上架!
An open-source, low-code machine learning library in Python
Interview = 简历指南 + 算法题 + 八股文 + 源码分析
Notebooks and code for the book "Introduction to Machine Learning with Python"
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。
Code for Tensorflow Machine Learning Cookbook
From the basics to slightly more interesting applications of Tensorflow