A python library for self-supervised learning
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Updated
Aug 20, 2024 - Python
A python library for self-supervised learning
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
[NeurIPS 2023 (Spotlight)] Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution Shifts
Exploring the importance of image resolution on self-supervised learning methods for multispectral imagery
Official implementation of "Augmentation-aware Self-supervised Learning with Conditioned Projector"
Contrastive learning implementations using pyssl
Implementation of a Simple Siamese network for contrastive learning in tensorflow2.0
This project utilized Self-Supervised learning methods (SimCLR & SimSiam) to recognize vehicle-type (or any object) based on a custom dataset
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
Pytorch implementation of Exploring Simple Siamese Representation Learning
This Repository contains unoffical implementation of SimSiam in Tensorflow2
Tumor detection and classification from abdominal ultrasound images using CenterNet with Contrastive Learning.
This is a Pytorch implementation of contrastive Learning(CL) baselines.
PyTorch implementation of SimSiam.
Self-Supervised Learning for General Audio Representation of Raw Waveform
Collections of self-supervised methods, based on cvpods.
TF 2.x implementation of SimSiam (Exploring Simple Siamese Representation Learning, CVPR 2021)
PyTorch implementation of SimSiam paper
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