Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Facenet | 13,133 | 10 months ago | 541 | mit | Python | |||||
Face recognition using Tensorflow | ||||||||||
Models | 6,819 | 8 months ago | 871 | apache-2.0 | Python | |||||
Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on. | ||||||||||
Paddlex | 4,510 | 2 | 4 months ago | 54 | December 10, 2021 | 538 | apache-2.0 | Python | ||
PaddlePaddle End-to-End Development Toolkit(『飞桨』深度学习全流程开发工具) | ||||||||||
Deep High Resolution Net.pytorch | 3,934 | a year ago | 199 | mit | Cuda | |||||
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation" | ||||||||||
Pytorch Cifar100 | 3,687 | 6 months ago | 53 | Python | ||||||
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet) | ||||||||||
Pytorch Studiogan | 3,226 | 9 months ago | 32 | other | Python | |||||
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation. | ||||||||||
Mmpretrain | 3,177 | 10 | 21 days ago | 33 | April 06, 2023 | 215 | apache-2.0 | Python | ||
OpenMMLab Pre-training Toolbox and Benchmark | ||||||||||
Resnest | 3,070 | 5 | a year ago | 1,081 | July 07, 2022 | 58 | apache-2.0 | Python | ||
ResNeSt: Split-Attention Networks | ||||||||||
Deep Reinforcement Learning With Pytorch | 2,741 | a year ago | 26 | mit | Python | |||||
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and .... | ||||||||||
Human Pose Estimation.pytorch | 2,727 | a year ago | 100 | mit | Python | |||||
The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)" |