Ma-zx's repositories
3DDFA_V2
The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.
amc
[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
Bi-GCN
Implementation of "Binary Graph Convolutional Network" in Pytorch Geometric
binary_gnn
Code for our paper "Binary Graph Neural Networks", CVPR 2021
BinaryNet
Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1
carrot
Free ChatGPT Site List 这儿为你准备了众多免费好用的ChatGPT镜像站点，当前100+站点
chatgpt_academic
科研工作专用ChatGPT拓展，特别优化学术Paper润色体验，支持自定义快捷按钮，支持markdown表格显示，Tex公式双显示，代码显示功能完善，新增本地Python工程剖析功能/自我剖析功能
composer
library of algorithms to speed up neural network training
deep_learning_theory_and_practice
《深度学习理论与实战：基础篇》代码
django-shop
A Django based shop system
DRL
Deep Reinforcement Learning
DualStyleGAN
[CVPR 2022] Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer
easy-rl
强化学习中文教程（蘑菇书），在线阅读地址：https://datawhalechina.github.io/easy-rl/
eat_tensorflow2_in_30_days
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
fashion-mnist
A MNIST-like fashion product database. Benchmark :point_down:
getsture
基于tensorflow2.x的手势识别项目
git-demo
This is a test repsitory named git-demo
Ma-zx
Config files for my GitHub profile.
Network-Slimming
Network reproduction and expansion based on Learning Efficient Convolutional Networks Through Network Slimming (ICCV 2017).
once-for-all
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
PaddleSlim
PaddleSlim is an open-source library for deep model compression and architecture search.
performance_results
performance results/benchmarks for a variety of machines
rainbow-is-all-you-need
Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
Tech_Aarticle
主要是我是日常看过的不错的文章的资源汇总，方便自己也分享给大家。有些我看过的，就会做简单的解读，没看过的，就先罗列一下，然后之后看了把解读更新上；涉及到搜索/推荐/自然语言处理。
vision
Datasets, Transforms and Models specific to Computer Vision
Wukong
Wukong: A scalable and locality-enhanced serverless parallel framework (ACM SoCC 2020)