barlow-twins
There are 22 repositories under barlow-twins topic.
vturrisi/solo-learn
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
tensorflow/similarity
TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
p-giakoumoglou/pyssl
Self-Supervised Learning in PyTorch
V2AI/SelfSup
Collections of self-supervised methods, based on cvpods.
theolepage/sslsv
Framework for training and evaluating self-supervised learning methods for speaker verification.
MaxLikesMath/Barlow-Twins-Pytorch
An easy-to-use implementation of Barlow Twins for Pytorch.
wgcban/mix-bt
Official PyTorch Implementation of Guarding Barlow Twins Against Overfitting with Mixed Samples
jonahanton/SSL_audio
Codebase for Imperial MSc AI Individual Project - Self-Supervised Learning for Audio Inference
gmum/CASSLE
Official implementation of "Augmentation-aware Self-supervised Learning with Conditioned Projector"
soumitri2001/SmallDataSSL
Exploring Self-Supervised Learning for Low-Resource Medical Image Analysis, ICIP 2023
kmamine/SSLArtScanpath
Barlow Twins for Scanpath prediction on paintings
ManafMukred/Self-Supervised-object-detection
This project utilized Self-Supervised learning methods (SimCLR & SimSiam) to recognize vehicle-type (or any object) based on a custom dataset
bornabr/CAPC
Context Aware Predictive Coding (CAPC)
hamna-moieez/cbt-embed-reg
This repository contains the code for continual barlow twins with embedding regularizer as a continual learning technique.
clementapa/RecvisProject
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
markpesic/BarlowTwins
Implementation of Barlow Twins in Pytorch
prakashchhipa/Robsutness-Evaluation-of-Self-supervised-Methods-Distribution-Shifts-and-Corruptions
Can Self-Supervised Representation Learning Methods Withstand Distribution Shifts and Corruptions? (ICCV Workshops 2023)
Rish-01/Contrastive-Learning-IISc
Contrastive learning implementations using pyssl
Rohanberiwal/Self-Supervised-Particle-Reconstruction-with-GAN-Enhanced-Models
Self supervised Learning On resnet 15 using Custom Generative adverisal Network to generate Images of the labelled and Unlabeled images dataset
ShreyPandit/Self-supervised_Barlow-Twins-on-STL-10-Dataset
Copy of assignments submitted to the course-work of DL_425
spencerbraun/barlow_twins_timm
Implementation of Barlow Twins: Self-Supervised Learning via Redundancy Reduction with `timm` integration
dame-cell/barlow-twins
Pytorch-Implementation of barlow twins