Guang Li's repositories
Awesome-Dataset-Distillation
A curated list of awesome papers on dataset distillation and related applications.
awesome-graph-reduction
[IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.
mtt-distillation
Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"
Transformer-SSL
This is an official implementation for "Self-Supervised Learning with Swin Transformers".
Awesome-Graph-Neural-Networks
Paper Lists for Graph Neural Networks
Awesome-Masked-Autoencoders
A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).
awesome-pretrained-stylegan2
A collection of pre-trained StyleGAN 2 models to download
awesome-self-supervised-learning
A curated list of awesome self-supervised methods
Awesome-Text-to-Image
A Survey on Text-to-Image Generation/Synthesis.
Awesome-Transformer-in-CV
A Survey on Transformer in CV.
Awesome-Video-Diffusion
A curated list of recent diffusion models for video generation, editing, restoration, understanding, etc.
Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
esvit
EsViT: Efficient self-supervised Vision Transformers
FRePo
Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)
FTD-distillation
The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)
Medical-Transformer
Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation"
momentum2-teacher
Implementation of momentum^2 teacher
MSF
Official code for "Mean Shift for Self-Supervised Learning"
Open-Sora
Open-Sora: Democratizing Efficient Video Production for All
PCRL
official pytorch implementation of PCRL
SFDA-DPL
[MICCAI'21] Source-Free domain adaptive fundus image segmentation with denoised pseudo-labeling
SimCLR-1
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.
SimSiam
A pytorch implementation for paper 'Exploring Simple Siamese Representation Learning'
transformer-in-transformer
Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorch
vissl
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch