google-research / simclr
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
☆4,261Updated last year
Alternatives and similar repositories for simclr:
Users that are interested in simclr are comparing it to the libraries listed below
- PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722☆4,970Updated this week
- PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations☆2,394Updated last year
- PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)☆3,268Updated last year
- Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch☆1,815Updated 9 months ago
- PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882☆2,038Updated 2 years ago
- PyTorch implementation of Contrastive Learning methods☆1,979Updated last year
- VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.☆3,280Updated last year
- OpenMMLab Self-Supervised Learning Toolbox and Benchmark☆3,253Updated last year
- Official DeiT repository☆4,190Updated last year
- A curated list of awesome self-supervised methods☆6,268Updated 10 months ago
- PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.☆787Updated 11 months ago
- PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057☆1,264Updated 3 years ago
- [arXiv 2019] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis☆1,322Updated 4 years ago
- PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566☆1,192Updated 2 years ago
- Code release for ConvNeXt model☆5,989Updated 2 years ago
- A pytorch implementation for paper 'Exploring Simple Siamese Representation Learning'☆830Updated 2 years ago
- ☆11,308Updated 2 months ago
- The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.☆6,130Updated 2 weeks ago
- PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO☆6,807Updated 10 months ago
- Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners☆2,649Updated last year
- Collection of common code that's shared among different research projects in FAIR computer vision team.☆2,124Updated 5 months ago
- Codebase for Image Classification Research, written in PyTorch.☆2,153Updated last year
- Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)☆2,026Updated 2 years ago
- Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)☆3,485Updated 3 months ago
- label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful☆2,240Updated 6 months ago
- Count the MACs / FLOPs of your PyTorch model.☆4,983Updated 9 months ago
- PyTorch implementation of Barlow Twins.☆980Updated 3 years ago
- Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.☆1,204Updated 3 years ago
- This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".☆14,712Updated 9 months ago
- Deep Clustering for Unsupervised Learning of Visual Features☆1,708Updated 3 years ago