TensorFlow Implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

Unofficial Pytorch Implementation of "A Simple Framework for Contrastive Learning of Visual Representations"

PyTorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"

A Simple Framework for Contrastive Learning of Visual Representations of pytorch implementation

a pytorch version implementation of simclr

Unofficial PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by Ting Chen et al.

Pretrained SimCLRv2 models in Pytorch

Exploring Simple Siamese Representation Learning

Pytorch Implementation of popular self-supervised models

This repo contains code for SimCLR : A Simple Framework for Contrastive Learning of Visual Representations

Contrastive Learning (SimCLR) for Human Activity Recognition

PyTorch Implementation of Self-Supervised Learning models

SimCLR running on the VISDA Dataset for Domain Adaptation (contrastive loss based self supervised learning + gan for domain alignment)

Contrastive Visual Representation Learning, Course Project for ECE-GY 9123 Deep Learning Spring 2021

Self-Supervised Learning approach to learn contrasting representation between images.

Collections of self-supervised methods, based on cvpods.

Multi-label classification based on timm, and add SimCLR to timm.

Pytorch implementation of the paper, "A Simple Framework for Contrastive Learning of Visual Representations", or SimCLR, https://arxiv.org/pdf/2002.05709.pdf

FlatNCE: A Novel Contrastive Representation Learning Objective