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3dpose_ssl

3D Human Pose Machines with Self-supervised Learning

adaptively-connected-neural-networks

A re-implementation of our CVPR 2019 paper "Adaptively Connected Neural Networks"

algorithm

算法导论python实现

alphapose

Real-Time and Accurate Multi-Person Pose Estimation&Tracking System

an-introduction-to-statistical-learning

This repository contains the exercises and its solution contained in the book An Introduction to Statistical Learning in python.

apollo

An open autonomous driving platform

apollo_learning

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

awesome-cpp-cn

C++ 资源大全中文版，标准库、Web应用框架、人工智能、数据库、图片处理、机器学习、日志、代码分析等。由「开源前哨」和「CPP开发者」微信公号团队维护更新。

awesome-reading-list

程序员必读书单

background-matting

Background Matting: The World is Your Green Screen

books

常用书籍

build-nanogpt

Video+code lecture on building nanoGPT from scratch

c-plus

《数据结构、算法与应用》C++描述，课本代码及课后习题代码

cpp_new_features

2021年最新整理， C++ 学习资料，含C++ 11 / 14 / 17 / 20 / 23 新特性、入门教程、推荐书籍、优质文章、学习笔记、教学视频等

cs-books

📚 Computer Science Books 计算机技术类书籍 PDF

cs_books

Books in Computer Science

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

data-structures-algorithms-and-applications-in-cpp

The codes of the book Data Structures, Algorithms, And Applications In C++ written by Sartaj Sahni.

dataset

The Open Images dataset

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deeplearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

dipp

Differentiable Integrated Prediction and Planning Framework for Urban Autonomous Driving https://mczhi.github.io/DIPP/

dive-into-dl-pytorch

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。

drl

Deep Reinforcement Learning

eat_pytorch_in_20_days

Pytorch🍊🍉 is delicious, just eat it! 😋😋

face3d

Python tools for 3D face: 3DMM, Mesh processing(transform, camera, light, render), 3D face representations.

fast-rcnn

Fast R-CNN

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.