The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
- pytorch
- resnet
- pretrained-models
- pretrained-weights
OpenMMLab Detection Toolbox and Benchmark
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
- semantic-segmentation
- pytorch
- pspnet
- deeplabv3
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.
A treasure chest for visual classification and recognition powered by PaddlePaddle
SwinIR: Image Restoration Using Swin Transformer (official repository)
- image-super-resolution
- image-denoising
- compression-artifact-reduction
- image-deblocking
OpenMMLab Pre-training Toolbox and Benchmark
Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR
- image-restoration
- denoising
- super-resolution
- sisr
Persistent remote applications for X11; screen sharing for X11, MacOS and MSWindows.
🌊 A Human-in-the-Loop workflow for creating HD images from text
- dalle
- generative-art
- human-in-the-loop
- jina
[ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"
Swing Music is a beautiful, self-hosted music player for your local audio files. Like a cooler Spotify ... but bring your own music.
Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.
- mscoco
- swin-transformer
- cascade
- mask-rcnn
zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.