Arquillian integration for Moco, https://github.com/dreamhead/moco
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Updated
Mar 30, 2017 - Java
Arquillian integration for Moco, https://github.com/dreamhead/moco
A pytorch reimplement of paper "Momentum Contrast for Unsupervised Visual Representation Learning"
Unofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learning"
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
Contrastive Visual Representation Learning, Course Project for ECE-GY 9123 Deep Learning Spring 2021
MoCo v2 Pytorch tutorial, https://arxiv.org/abs/2003.04297
Training MoCoV2 on the CIFAR10 Dataset
Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]
Money Converter on the CLI
Implementation of the algorithm Contrastive Multiview Coding (CMC) combined with Momentum Contrast (MoCo) for self-supervised learning of images.
Camera movement converter from Blender 3D to Dragonframe Motion Control module. Adapted for Emotimo TB3 Robot.
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