There are 1 repository under moco topic.
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
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
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
Training MoCoV2 on the CIFAR10 Dataset
An unofficial PyTorch implementation of the NeurIPS 2020 paper Hard Negative Mixing for Contrastive Learning.
A python library for self-supervised learning
ssl method pretrain experiments and weights: mocov2 + fast-moco + regioncl + mixup + densecl
Codebase for Imperial MSc AI Group Project: How Well Do Self-Supervised Models Transfer to Medical Imaging?
Chrome Vision - Object detection and self-supervised classification (Bachelor project)
Arquillian integration for Moco, https://github.com/dreamhead/moco
A Camunda Connector to change entities in your Moco Account
Camera movement converter from Blender 3D to Dragonframe Motion Control module. Adapted for Emotimo TB3 Robot.
Implementation of the algorithm Contrastive Multiview Coding (CMC) combined with Momentum Contrast (MoCo) for self-supervised learning of images.
Review and Implement Paper of Self-supervised learning
Unofficial Pytorch implementation of the paper 'Improved Baselines with Momentum Contrastive Learning' experiment on ImageNet-1K