simsiam

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

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

Exploring Simple Siamese Representation Learning

Collections of self-supervised methods, based on cvpods.

Toolkit for training and evaluating Self-Supervised Learning (SSL) frameworks for Speaker Verification (SV).

Pytorch implementation of Exploring Simple Siamese Representation Learning

PyTorch Implementation of SimSiam from "Exploring Simple Siamese Representation Learning" by Chen et al.

TF 2.x implementation of SimSiam (Exploring Simple Siamese Representation Learning, CVPR 2021)

This is a Pytorch implementation of contrastive Learning(CL) baselines.

[NeurIPS 2023 (Spotlight)] Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution Shifts

PyTorch implementation of SimSiam.

A python library for self-supervised learning

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

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

Tumor detection and classification from abdominal ultrasound images using CenterNet with Contrastive Learning.

An exploration of self-supervised and contrastive learning techniques (SimSiam) on CIFAR-10 dataset, comparing them against a supervised baseline in a low-data regime.

Project for a University Deep Learning Exam (UNIFI) This project implements SimSiam in PyTorch with Linear Evaluation.

PyTorch implementation of SimSiam paper