Self-Supervised Learning Toolbox and Benchmark

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

GPU Accelerated t-SNE for CUDA with Python bindings

Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.

《统计学习方法》的代码实现

微人事是一个前后端分离的人力资源管理系统，项目采用SpringBoot+Vue开发。

V部落，Vue+SpringBoot实现的多用户博客管理平台!

Complete solutions to Leetcode problems; updated daily. (I'm looking for long-term contributors/partners to this repo! Send me PRs if you're interested! - 9/5/2018)

Build a Jekyll blog in minutes, without touching the command line.

mall-admin-web是一个电商后台管理系统的前端项目，基于Vue+Element实现。 主要包括商品管理、订单管理、会员管理、促销管理、运营管理、内容管理、统计报表、财务管理、权限管理、设置等功能。

mall项目是一套电商系统，包括前台商城系统及后台管理系统，基于SpringBoot+MyBatis实现。 前台商城系统包含首页门户、商品推荐、商品搜索、商品展示、购物车、订单流程、会员中心、客户服务、帮助中心等模块。 后台管理系统包含商品管理、订单管理、会员管理、促销管理、运营管理、内容管理、统计报表、财务管理、权限管理、设置等模块。

tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials

Statistics and Visualization of acceptance rate, main keyword of CVPR 2019 accepted papers for the main Computer Vision conference (CVPR)

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

The best design tools for everything.

Gitbook

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Official PyTorch Implementation of StarGAN - CVPR 2018

All Algorithms implemented in Python

Leetcode 题解 (跟随思路一步一步撸出代码) 及经典算法实现

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

A curated list of awesome Deep Learning tutorials, projects and communities.

A best practice for tensorflow project template architecture.

this repository accompanies my forthcoming book "Grokking Deep Learning"

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

The English-Chinese paired terminologies in Artificial Intelligence Domain

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.