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buct-autologin

Auto login tree.buct.edu.cn

cec-cvpr2021

cleanlab

Find label errors in datasets, weak supervision, and learning with noisy labels.

co-correcting

efficient-ai-backbones

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

evidentialmix

PyTorch implementation for our paper EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels

fixmatch

A simple method to perform semi-supervised learning with limited data.

fixmatch-pytorch

Unofficial Pytorch code for "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence" in NeurIPS'20. This repo contains reproduced checkpoints.

gpu_warmer

Using GPU for heating.

hi-ml

HI-ML toolbox for deep learning for medical imaging and Azure integration

jocor

CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization

learnopencv

Learn OpenCV : C++ and Python Examples

logme

Code release for "LogME: Practical Assessment of Pre-trained Models for Transfer Learning" (ICML 2021), https://arxiv.org/abs/2102.11005

maskformer

Per-Pixel Classification is Not All You Need for Semantic Segmentation

mixmo-pytorch

Official Pytorch implementation of MixMo framework

mlc

openmixup

CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark

rsync-backup

Rsync-based backup for multiple servers.

self_supervised

A Pytorch-Lightning implementation of self-supervised algorithms

supcon-framework

Implementation of Supervised Contrastive Learning with AMP, EMA, SWA, and many other tricks

supcontrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

swin-umamba

Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining

torchssl

A PyTorch-based library for semi-supervised learning (NeurIPS'21)

trl

Train transformer language models with reinforcement learning.

txt2excel

vit-cifar

PyTorch implementation for Vision Transformer[Dosovitskiy, A.(ICLR'21)] modified to obtain over 90% accuracy FROM SCRATCH on CIFAR-10 with small number of parameters (= 6.3M, originally ViT-B has 86M).

wideresnet-pytorch

Wide Residual Networks (WideResNets) in PyTorch