Doraemonzm's Stars
quark0/darts
Differentiable architecture search for convolutional and recurrent networks
renqianluo/NAO
Neural Architecture Optimization
renqianluo/NAO_pytorch
Pytorch Implementation of Neural Architecture Optimization
GATECH-EIC/Early-Bird-Tickets
[ICLR 2020] Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks
xmu-xiaoma666/External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
luuuyi/CBAM.PyTorch
Non-official implement of Paper:CBAM: Convolutional Block Attention Module
houqb/CoordAttention
Code for our CVPR2021 paper coordinate attention
iduta/pyconv
Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
idstcv/ZenNAS
PistonY/torch-toolbox
🛠 Toolbox to extend PyTorch functionalities
PistonY/ModelZoo.pytorch
Hands on Imagenet training. Unofficial ModelZoo project on Pytorch. MobileNetV3 Top1 75.64🌟 GhostNet1.3x 75.78🌟
changlin31/DNA
(CVPR 2020) Block-wisely Supervised Neural Architecture Search with Knowledge Distillation
antoyang/NAS-Benchmark
[ICLR 2020] NAS evaluation is frustratingly hard
fxmeng/RMNet
RM Operation can equivalently convert ResNet to VGG, which is better for pruning; and can help RepVGG perform better when the depth is large.
DennisHanyuanXu/Tiny-ImageNet
Image classification on Tiny ImageNet
tmux-plugins/tmux-logging
Easy logging and screen capturing for Tmux.
facebookresearch/FixRes
This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423
liqi0126/tinyImageNet
Tiny ImageNet Challenge
dmlc/gluon-cv
Gluon CV Toolkit
gbaydin/hypergradient-descent
Hypergradient descent
google-research/google-research
Google Research
yuhuixu1993/PC-DARTS
PC-DARTS:Partial Channel Connections for Memory-Efficient Differentiable Architecture Search
mit-han-lab/proxylessnas
[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
KevinMusgrave/pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
yoshitomo-matsubara/torchdistill
A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
JeremyXSC/MCN-MT
JeremyXSC/FineGPR
GT-Vision-Lab/VQA
jiasenlu/HieCoAttenVQA
shanglianlm0525/PyTorch-Networks
Pytorch implementation of cnn network