OpenMMLab Pre-training Toolbox and Benchmark

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning

SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]

PASSL包含 SimCLR，MoCo v1/v2，BYOL，CLIP，PixPro，simsiam, SwAV, BEiT，MAE 等图像自监督算法以及 Vision Transformer，DEiT，Swin Transformer，CvT，T2T-ViT，MLP-Mixer，XCiT，ConvNeXt，PVTv2 等基础视觉算法

Blog Demo & Source code （文章示例及源码）

Unofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learning"

Self-Supervised Learning in PyTorch

Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]

[CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Michael Carbin, Zhangyang Wang

A pytorch reimplement of paper "Momentum Contrast for Unsupervised Visual Representation Learning"

Tool for providing sample data for AEM applications in a simple and flexible way. Stubbing server on AEM, no separate needed.

Awesome-Representation-Learning-CV-PaperAndCodes, lasted development in the representation learning area.

MoCo v2 Pytorch tutorial, https://arxiv.org/abs/2003.04297

Unofficial implement of CLSA(Contrastive Learning with Stronger Augmentations) with minimum modifications on official moco's code

TF 2.x implementation of MoCo v1 (Momentum Contrast for Unsupervised Visual Representation Learning, CVPR 2020) and MoCo v2 (Improved Baselines with Momentum Contrastive Learning, 2020).

an implementation of MoCo and MoCo-v2 improvements pre-trained on Imagenette

Framework for training and evaluating self-supervised learning methods for speaker verification.

Training MoCoV2 on the CIFAR10 Dataset