There are 1 repository under simclr topic.
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
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]
TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.
PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
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
Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.
Self-Supervised Learning in PyTorch
[WACV 2024 Oral] - ARNIQA: Learning Distortion Manifold for Image Quality Assessment
Tensorflow-Keras implementation of SimCLR: Simple Framework for Contrastive Learning of Visual Representations by Chen et al. (2020)
Pretrained SimCLRv2 models in Pytorch
FlatNCE: A Novel Contrastive Representation Learning Objective
Code and evaluation repository for the paper
Contrastive Learning (SimCLR) for Human Activity Recognition
[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
Exploring Simple Siamese Representation Learning
Applied Self Supervised Learning techniques such as Jigsaw as pretext task, SRGAN and SimCLR for fine-grained classification
Multi-label classification based on timm, and add SimCLR to timm.
Awesome-Representation-Learning-CV-PaperAndCodes, lasted development in the representation learning area.
TensorFlow Implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
Implementation of Contrastive Self-Supervised Learning for Sensor-based Human Activity Recognition
Framework for training and evaluating self-supervised learning methods for speaker verification.
This repo contains code for SimCLR : A Simple Framework for Contrastive Learning of Visual Representations
Tensorflow-keras implementation for Contrastive Reconstruction (ConRec) : a self-supervised learning algorithm that obtains image representations by jointly optimizing a contrastive and a self-reconstruction loss.
This is a Pytorch implementation of contrastive Learning(CL) baselines.
PyTorch Implementation of Self-Supervised Learning models
Unofficial Pytorch Implementation of "A Simple Framework for Contrastive Learning of Visual Representations"
A python library for self-supervised learning