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

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

Self-Supervised Learning in PyTorch

Collections of self-supervised methods, based on cvpods.

Framework for training and evaluating self-supervised learning methods for speaker verification.

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

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

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

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

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

Barlow Twins for Scanpath prediction on paintings

Context Aware Predictive Coding (CAPC)

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

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

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

Contrastive learning implementations using pyssl

Implementation of Barlow Twins: Self-Supervised Learning via Redundancy Reduction with `timm` integration

Can Self-Supervised Representation Learning Methods Withstand Distribution Shifts and Corruptions? (ICCV Workshops 2023)

Copy of assignments submitted to the course-work of DL_425

Implementation of Barlow Twins in Pytorch