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vturrisi / solo-learn

solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning

Updated Oct 12, 2026
Python

tensorflow / similarity

TensorFlow Similarity is a python package focused on making similarity learning quick and easy.

python machine-learning deep-learning clustering tensorflow nearest-neighbor-search metric-learning cosine-similarity nearest-neighbors unsupervised-learning knn similarity-search similarity-learning simclr contrastive-learning simsiam barlow-twins simclr2

Updated May 6, 2024
Python

p-giakoumoglou / pyssl

Star

Self-Supervised Learning in PyTorch

Updated Mar 14, 2024
Python

V2AI / SelfSup

Star

Collections of self-supervised methods, based on cvpods.

classification imagenet simo self-supervised cifar-10 byol simclr contrastive-learning simsiam moco-v2 swav barlow-twins eqco cvpods point-contrast scrl det-con selfsup

Updated Aug 21, 2021
Python

wgcban / mix-bt

Star

Official PyTorch Implementation of Guarding Barlow Twins Against Overfitting with Mixed Samples

imagenet representation-learning knn-classification cifar-10 linear-probing mixup cifar-100 self-supervised-learning stl-10 byol tiny-imagenet simclr contrastive-learning barlow-twins

Updated Jan 19, 2024
Python

MaxLikesMath / Barlow-Twins-Pytorch

Star

An easy-to-use implementation of Barlow Twins for Pytorch.

python computer-vision deep-learning cnn pytorch unsupervised-learning pytorch-cnn self-supervised-learning pytorch-implementation self-super barlow-twins

Updated May 16, 2021
Python

jonahanton / SSL_audio

Star

Codebase for Imperial MSc AI Individual Project - Self-Supervised Learning for Audio Inference

machine-learning deep-learning audio-processing audioset self-supervised-learning byol masked-autoencoder barlow-twins

Updated May 6, 2023
Python

soumitri2001 / SmallDataSSL

Star

Exploring Self-Supervised Learning for Low-Resource Medical Image Analysis, ICIP 2023

computer-vision medical-imaging low-resource self-supervised-learning simclr contrastive-learning barlow-twins non-contrastive-learning

Updated Jul 8, 2023
Python

bornabr / CAPC

Star

Context Aware Predictive Coding (CAPC)

machine-learning time-series channel-state-information self-supervised-learning contrastive-predictive-coding wifi-sensing contrastive-learning barlow-twins

Updated Nov 21, 2024
Python

gmum / CASSLE

Star

Official implementation of "Augmentation-aware Self-supervised Learning with Conditioned Projector"

machine-learning computer-vision pytorch self-supervised self-supervised-learning simclr simsiam moco-v2 barlow-twins barlowtwins moco-v3

Updated Jul 16, 2026
Python

ManafMukred / Self-Supervised-object-detection

Star

This project utilized Self-Supervised learning methods (SimCLR & SimSiam) to recognize vehicle-type (or any object) based on a custom dataset

tensorflow object-detection transfer-learning custom-dataset self-supervised-learning simclr simsiam barlow-twins

Updated Sep 24, 2023
Jupyter Notebook

kmamine / SSLArtScanpath

Star

Barlow Twins for Scanpath prediction on paintings

convolutional-neural-networks self-supervised-learning scanpath-prediction barlow-twins

Updated Sep 17, 2024
Python

AymenTurki0 / Robotic-Plant-Phenotyping

Star

End-to-end robotic framework for 3D plant phenotyping via monocular RGB. Features JetCobot multi-view capture (ROS 2/MoveIt2), NeRF/3DGS reconstruction (COLMAP, MASt3R), Barlow Twins SSL adaptation for robust 3D segmentation (+1.72 pp mIoU), Laplacian skeletonization, and RGB plant health mapping.

computer-vision 3d-reconstruction 3d-segmentation robotics-simulation self-supervised-learning plant-phenotyping barlow-twins

Updated Sep 15, 2026
Jupyter Notebook

hamna-moieez / cbt-embed-reg

Star

This repository contains the code for continual barlow twins with embedding regularizer as a continual learning technique.

satellite-imagery continual-learning self-supervised-learning continual-ai barlow-twins self-supervised-continual-learning embedding-regularization

Updated Sep 28, 2022
Python

clementapa / RecvisProject

Star

In this project, we propose to study Vision Transformers trained using the Barlow Twins self-supervised method, and compare the results with DINO. We demonstrate the effectiveness of the Barlow Twins method by showing that networks pretrained on the small PASCAL VOC 2012 dataset are able to generalize well. Authors: Apavou Clément & Zucker Arthur

computer-vision deep-learning pytorch semantic-segmentation self-supervised-learning pytorch-lightning vision-transformer barlow-twins