Python - 100天从新手到大师

Python Data Science Handbook: full text in Jupyter Notebooks

Learn how to design, develop, deploy and iterate on production-grade ML applications.

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

A game theoretic approach to explain the output of any machine learning model.

Learn OpenCV : C++ and Python Examples

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

《统计学习方法》的代码实现

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

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。

Natural Language Processing Tutorial for Deep Learning Researchers

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》)

Image restoration with neural networks but without learning.

OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image genera…

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

COCO API - Dataset @ http://cocodataset.org/

A scikit-learn compatible neural network library that wraps PyTorch

Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)

Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

A simplified implemention of Faster R-CNN that replicate performance from origin paper

AI实战-practicalAI 中文版

Tutorials for creating and using ONNX models

Debugging, monitoring and visualization for Python Machine Learning and Data Science

A small package to create visualizations of PyTorch execution graphs

The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。

DeepFashion2 Dataset https://arxiv.org/pdf/1901.07973.pdf