jason718 / awesome-self-supervised-learningLinks
A curated list of awesome self-supervised methods
☆6,319Updated last year
Alternatives and similar repositories for awesome-self-supervised-learning
Users that are interested in awesome-self-supervised-learning are comparing it to the libraries listed below
Sorting:
- A collection of AWESOME things about domian adaptation☆5,325Updated 10 months ago
- SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners☆4,350Updated 2 years ago
- 😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.☆1,849Updated last year
- List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and …☆1,646Updated last year
- The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.☆6,216Updated 3 weeks ago
- VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.☆3,285Updated last year
- OpenMMLab Self-Supervised Learning Toolbox and Benchmark☆3,274Updated 2 years ago
- PyTorch implementation of Contrastive Learning methods☆1,988Updated last year
- Reading list for research topics in multimodal machine learning☆6,598Updated last year
- A curated list of resources for Learning with Noisy Labels☆2,702Updated 4 months ago
- PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations☆2,430Updated last year
- PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722☆5,052Updated 2 months ago
- PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)☆3,342Updated last year
- A comprehensive list of awesome contrastive self-supervised learning papers.☆1,288Updated 11 months ago
- AI conference deadline countdowns☆5,935Updated 11 months ago
- Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)☆3,525Updated 8 months ago
- Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)☆2,830Updated 2 years ago
- Siamese and triplet networks with online pair/triplet mining in PyTorch☆3,150Updated 2 years ago
- PyTorch deep learning projects made easy.☆5,013Updated last year
- Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch☆1,834Updated last year
- PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882☆2,058Updated 2 years ago
- Model summary in PyTorch similar to `model.summary()` in Keras☆4,056Updated last year
- Official DeiT repository☆4,257Updated last year
- Pytorch implementation of convolutional neural network visualization techniques☆8,091Updated 8 months ago
- Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)☆1,755Updated 2 years ago
- Awesome Knowledge Distillation☆3,730Updated 2 months ago
- Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning☆2,639Updated 6 years ago
- Code for visualizing the loss landscape of neural nets☆3,061Updated 3 years ago
- solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning☆1,507Updated 3 weeks ago
- Deep Clustering for Unsupervised Learning of Visual Features☆1,730Updated 3 years ago