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acnet

ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks

aofp

Codes of Approximated Oracle Filter Pruning

centripetal-sgd

Codes of Centripetal SGD

convnext

Code release for ConvNeXt model

cswin-transformer

CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped, CVPR 2022

cutlass

CUDA Templates for Linear Algebra Subroutines

dingxiaohan

Home

diversebranchblock

Diverse Branch Block: Building a Convolution as an Inception-like Unit

efficientnetv2.pytorch

PyTorch implementation of EfficientNetV2 family

gsm-sgd

Global Sparse Momentum SGD for pruning very deep neural networks

hompage-academic

metamonplayer

Simple program to play Metamon automatically

mmcv

OpenMMLab Computer Vision Foundation

mmsegmentation-1

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

mobilenetv2

myhomepage

open_clip

An open source implementation of CLIP.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

pytorch-optimizer

torch-optimizer -- collection of optimizers for Pytorch

repghost

RepGhost: A Hardware-Efficient Ghost Module via Re-parameterization

replknet-pytorch

Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs (CVPR 2022)

repmlp

RepMLPNet: Hierarchical Vision MLP with Re-parameterized Locality (CVPR 2022)

repoptimizers

Official repo of RepOptimizers and RepOpt-VGG

repvgg

RepVGG: Making VGG-style ConvNets Great Again

res-mlp-pytorch

Implementation of ResMLP, an all MLP solution to image classification, in Pytorch

resrep

ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting (ICCV 2021)

swin-transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

swin-transformer-object-detection

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.

vision

Datasets, Transforms and Models specific to Computer Vision