Topic: moco Goto Github
Some thing interesting about moco
Some thing interesting about moco
moco,Unofficial implement of CLSA(Contrastive Learning with Stronger Augmentations) with minimum modifications on official moco's code
User: a1600012888
moco,an implementation of MoCo and MoCo-v2 improvements pre-trained on Imagenette
User: alexzaikin94
moco,Chrome Vision - Object detection and self-supervised classification (Bachelor project)
User: andreasalstrup
moco,Arquillian integration for Moco, https://github.com/dreamhead/moco
Organization: arquillian
moco,A python library for self-supervised learning
User: audrina-ebrahimi
moco,Unofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learning"
User: bl0
Home Page: https://arxiv.org/abs/1911.05722
moco,Contrastive Visual Representation Learning, Course Project for ECE-GY 9123 Deep Learning Spring 2021
User: chengchen2020
moco,ssl method pretrain experiments and weights: mocov2 + fast-moco + regioncl + mixup + densecl
User: coincheung
moco,An unofficial PyTorch implementation of the NeurIPS 2020 paper Hard Negative Mixing for Contrastive Learning.
User: davidsvy
moco,A pytorch reimplement of paper "Momentum Contrast for Unsupervised Visual Representation Learning"
User: dddzg
moco,🏦 Generate SEPA XML files from MOCO invoices.
Organization: duplexmedia
moco,Self-Supervised Learning in PyTorch
User: giakoumoglou
moco,Awesome-Representation-Learning-CV-PaperAndCodes, lasted development in the representation learning area.
User: hymeric
Home Page: https://github.com/HymEric/Awesome-Representation-Learning-CV-PaperAndCode
moco,Unofficial Pytorch implementation of the paper 'Improved Baselines with Momentum Contrastive Learning' experiment on ImageNet-1K
User: jasonlee1995
moco,self-supervised learning
User: jianzhnie
moco,Codebase for Imperial MSc AI Group Project: How Well Do Self-Supervised Models Transfer to Medical Imaging?
User: jonahanton
moco,Camera movement converter from Blender 3D to Dragonframe Motion Control module. Adapted for Emotimo TB3 Robot.
User: maumatus
moco,OpenMMLab Pre-training Toolbox and Benchmark
Organization: open-mmlab
Home Page: https://mmpretrain.readthedocs.io/en/latest/
moco,OpenMMLab Self-Supervised Learning Toolbox and Benchmark
Organization: open-mmlab
Home Page: https://mmselfsup.readthedocs.io/en/latest/
moco,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
Organization: paddlepaddle
moco,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).
Organization: papercodereview
moco,Review and Implement Paper of Self-supervised learning
User: sangh0
moco,MoCo v2 Pytorch tutorial, https://arxiv.org/abs/2003.04297
User: seonghoon-yu
moco,Training MoCoV2 on the CIFAR10 Dataset
User: shatz01
moco,CLI tool for working with the moco api
User: sommalia
moco,Helper script to create moco activities directly from cli
User: sommalia
moco,python wrapper for the moco api
User: sommalia
moco,[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
Organization: vita-group
moco,solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
User: vturrisi
moco,Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]
User: wvangansbeke
Home Page: https://proceedings.neurips.cc/paper/2021/hash/8757150decbd89b0f5442ca3db4d0e0e-Abstract.html
moco,SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
User: wvangansbeke
Home Page: https://arxiv.org/abs/2005.12320
moco,Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]
User: wvangansbeke
moco,Blog Demo & Source code (文章示例及源码)
User: zuozewei
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