| davidsandberg/facenet |
13,133 |
|
0 |
0 |
over 2 years ago |
0 |
|
541 |
mit |
Python |
| Face recognition using Tensorflow |
| PaddlePaddle/models |
6,819 |
|
0 |
0 |
over 2 years ago |
0 |
|
871 |
apache-2.0 |
Python |
| Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on. |
| PaddlePaddle/PaddleX |
4,510 |
|
0 |
2 |
over 2 years 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） |
| leoxiaobin/deep-high-resolution-net.pytorch |
3,934 |
|
0 |
0 |
over 3 years ago |
0 |
|
199 |
mit |
Cuda |
| The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation" |
| open-mmlab/mmpretrain |
3,837 |
|
0 |
10 |
over 1 year ago |
33 |
April 06, 2023 |
215 |
apache-2.0 |
Python |
| OpenMMLab Pre-training Toolbox and Benchmark |
| weiaicunzai/pytorch-cifar100 |
3,687 |
|
0 |
0 |
over 2 years ago |
0 |
|
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) |
| POSTECH-CVLab/PyTorch-StudioGAN |
3,226 |
|
0 |
0 |
over 2 years ago |
0 |
|
32 |
other |
Python |
| StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation. |
| zhanghang1989/ResNeSt |
3,070 |
|
0 |
5 |
over 3 years ago |
1,081 |
July 07, 2022 |
58 |
apache-2.0 |
Python |
| ResNeSt: Split-Attention Networks |
| sweetice/Deep-reinforcement-learning-with-pytorch |
2,741 |
|
0 |
0 |
about 3 years ago |
0 |
|
26 |
mit |
Python |
| PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and .... |
| microsoft/human-pose-estimation.pytorch |
2,727 |
|
0 |
0 |
over 3 years ago |
0 |
|
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)" |
