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acnet

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

awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

cityscapesscripts

README and scripts for the Cityscapes Dataset

colourcapture

a tool to find an object with some colour and when it moves,it will draw its trajectory on the screen

computer-vision-leaderboard

Comparison of famous convolutional neural network models

cs_python_notes

Some notes about computer sience and Python.

data_process

data process,load for pytorch

data_structures_and_algorithms

The codes about Data Structures and Algorithms.

db-gpt

AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents

ddfnet

The official implementation of the CVPR2021 paper: Decoupled Dynamic Filter Networks

dyfpn

efficient-hetconv-heterogeneous-kernel-based-convolutions

Efficient HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs

efficientnet-pytorch

A PyTorch implementation of EfficientNet

embedded-neural-network

collection of works aiming at reducing model sizes or the ASIC/FPGA accelerator for machine learning

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

exercise_python

fapn-full

[ICCV 2021] FaPN: Feature-aligned Pyramid Network for Dense Image Prediction

fb.resnet.torch

Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts

flops-counter.pytorch

Flops counter for convolutional networks in pytorch framework

gfnet-pytorch

A general framework for inferring CNNs efficiently. Reduce the inference latency of MobileNet-V3 by 1.3x on an iPhone XS Max without sacrificing accuracy.

google-research

Google Research

hbonet

[ICCV 2019] Harmonious Bottleneck on Two Orthogonal Dimensions

hdc-net

HDC-Net: Hierarchical Decoupled Convolution Network for Brain Tumor Segmentation

hetconvolution2d_pytorch

HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs simply implement

imagenet

This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)

isprs-code

kse

Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

mmcv

OpenMMLab Computer Vision Foundation