HobbitLong / SupContrastLinks
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
☆3,342Updated last year
Alternatives and similar repositories for SupContrast
Users that are interested in SupContrast are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations☆2,430Updated last year
- PyTorch implementation of Contrastive Learning methods☆1,988Updated last year
- SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners☆4,350Updated 2 years ago
- PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722☆5,052Updated 2 months ago
- Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch☆1,834Updated last year
- PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566☆1,210Updated 2 years ago
- PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882☆2,058Updated 2 years ago
- A comprehensive list of awesome contrastive self-supervised learning papers.☆1,288Updated 11 months ago
- OpenMMLab Self-Supervised Learning Toolbox and Benchmark☆3,274Updated 2 years ago
- PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.☆797Updated last year
- PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057☆1,284Updated 3 years ago
- A pytorch implementation for paper 'Exploring Simple Siamese Representation Learning'☆833Updated 3 years ago
- A PyTorch-based library for semi-supervised learning (NeurIPS'21)☆1,361Updated 2 years ago
- solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning☆1,507Updated 3 weeks ago
- 😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.☆1,849Updated last year
- A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"☆566Updated 5 years ago
- [CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize …☆1,917Updated last year
- Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)☆2,072Updated 3 years ago
- label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful☆2,249Updated 10 months ago
- A Unified Semi-Supervised Learning Codebase (NeurIPS'22)☆1,520Updated last week
- PyTorch implementation of Barlow Twins.☆989Updated 3 years ago
- A curated list of resources for Learning with Noisy Labels☆2,702Updated 4 months ago
- [arXiv 2019] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis☆1,327Updated 4 years ago
- SAM: Sharpness-Aware Minimization (PyTorch)☆1,911Updated last year
- The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.☆6,216Updated 2 weeks ago
- Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners☆2,667Updated 2 years ago
- A simple method to perform semi-supervised learning with limited data.☆1,174Updated last year
- A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.☆1,361Updated last year
- VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.☆3,284Updated last year
- Vision Transformer (ViT) in PyTorch☆845Updated 3 years ago