Implementation for paper MLP-Mixer: An all-MLP Architecture for Vision
Statistics for this project are still being loaded, please check back later.
An All-MLP solution for Vision, from Google AI
The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detec...
Semantic Image Synthesis with SPADE
A new approach based on a 10-layer one-dimensional convolution neural network (1D-CNN) to classif...
I decide to sync up this repo and self-critical.pytorch. (The old master is in old master branch ...
Implementation of ConvMixer for "Patches Are All You Need? 🤷"
AeCC: Autoencoders for Compressed Communication
PyTorch implementation of "MLP-Mixer: An all-MLP Architecture for Vision" Tolstikhin et al. (2021)
CVPR2023 - Activating More Pixels in Image Super-Resolution Transformer Arxiv - HAT: Hybrid Atten...
OneTrainer is a one-stop solution for all your stable diffusion training needs.
LLaMA: Open and Efficient Foundation Language Models
Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners
MambaOut: Do We Really Need Mamba for Vision?
A simple method to perform semi-supervised learning with limited data.
Implementation of MlpMixer model, Original paper: MLP-Mixer: An all-MLP Architecture for Vision