Lyken17 / pytorch-OpCounter
Count the MACs / FLOPs of your PyTorch model.
☆4,985Updated 10 months ago
Alternatives and similar repositories for pytorch-OpCounter
Users that are interested in pytorch-OpCounter are comparing it to the libraries listed below
Sorting:
- Flops counter for neural networks in pytorch framework☆2,891Updated 3 months ago
- Model analyzer in PyTorch☆1,482Updated 2 years ago
- Collection of common code that's shared among different research projects in FAIR computer vision team.☆2,126Updated 5 months ago
- Model summary in PyTorch similar to `model.summary()` in Keras☆4,040Updated last year
- Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.☆4,212Updated 2 months ago
- RepVGG: Making VGG-style ConvNets Great Again☆3,390Updated 2 years ago
- Codebase for Image Classification Research, written in PyTorch.☆2,153Updated last year
- PyTorch implementation of SENet☆2,320Updated 4 years ago
- ResNeSt: Split-Attention Networks☆3,255Updated 2 years ago
- PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722☆4,973Updated 2 weeks ago
- label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful☆2,241Updated 6 months ago
- A PyTorch implementation of EfficientNet☆8,098Updated 3 years ago
- Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)☆3,489Updated 4 months ago
- Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"☆2,143Updated 2 years ago
- A CV toolkit for my papers.☆2,048Updated 4 months ago
- Squeeze-and-Excitation Networks☆3,512Updated 6 years ago
- OpenMMLab Self-Supervised Learning Toolbox and Benchmark☆3,257Updated last year
- A quickstart and benchmark for pytorch distributed training.☆1,661Updated 9 months ago
- Pytorch implementation of convolutional neural network visualization techniques☆8,019Updated 4 months ago
- Code release for ConvNeXt model☆5,996Updated 2 years ago
- My best practice of training large dataset using PyTorch.☆1,098Updated last year
- YACS -- Yet Another Configuration System☆1,311Updated 3 years ago
- [ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods☆2,327Updated last year
- A curated list of neural network pruning resources.☆2,440Updated last year
- Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distille…☆4,390Updated 2 years ago
- Official DeiT repository☆4,194Updated last year
- Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS☆1,570Updated 11 months ago
- Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,…☆4,526Updated 10 months ago
- A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch☆8,650Updated last week
- View model summaries in PyTorch!☆2,786Updated this week