mingkai-zheng

gym

A toolkit for developing and comparing reinforcement learning algorithms.

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

MAE-pytorch

Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

Semi-supervised-learning

A Unified Semi-Supervised Learning Codebase (NeurIPS'22)

moco-v3

PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057

ibot

iBOT :robot:: Image BERT Pre-Training with Online Tokenizer (ICLR 2022)

PCL

PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"

GigaGAN

opensphere

A hyperspherical face recognition library based on PyTorch

FT-CLIP

CLIP Itself is a Strong Fine-tuner: Achieving 85.7% and 88.0% Top-1 Accuracy with ViT-B and ViT-L on ImageNet

CoMatch

Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization

CARE

[NeurIPS 2021] Revitalizing CNN Attentions via Transformers in Self-Supervised Visual Representation Learning

DSL

CVPR2022 paper "Dense Learning based Semi-Supervised Object Detection"

exponential-moving-average-normalization

PyTorch implementation of EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482

SimMatch

SimMatch: Semi-supervised Learning with Similarity Matching

GENIUS

Can GPT-4 Perform Neural Architecture Search?

imix

ICLR 2021 i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning

DiffKD

Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023

ReSSL

ReSSL: Relational Self-Supervised Learning with Weak Augmentation

semi-vit

PyTorch implementation of Semi-supervised Vision Transformers

slideio

SuperViT

Official Pytorch implementation of Super Vision Transformer (IJCV)

WCL

Weakly Supervised Contrastive Learning

NAS-Bench-Macro

NAS Benchmark in "Prioritized Architecture Sampling with Monto-Carlo Tree Search", CVPR2021

SEED

byol-convert

Code and model definition for converting the official BYOL weights to PyTorch

LEWEL

[CVPR2022] Official Implementation of the paper 'Learning Where to Learn in Cross-View Self-Supervised Learning'

SimMatchV2

SimMatchV2: Semi-Supervised Learning with Graph Consistency

verification-real-world-info-needs

CoNe