FireFYF

SlimCAE

Slimmable Compressive Autoencoders for Practical Neural Image Compression

modulatedautoencoder

Variable rate with MAE

ScrollNet

ScrollNet for Continual Learning

compression-1

Data compression in TensorFlow

DessiLBI

draco

Draco is a library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics.

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

tflow

deep learning

tianshou

An elegant PyTorch deep reinforcement learning library.

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch