KevinMusgrave / pytorch-adapt
Domain adaptation made easy. Fully featured, modular, and customizable.
☆369Updated 2 years ago
Alternatives and similar repositories for pytorch-adapt:
Users that are interested in pytorch-adapt are comparing it to the libraries listed below
- Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)☆538Updated 8 months ago
- pytorch implementation for Contrastive Adaptation Network☆334Updated 4 years ago
- Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels☆295Updated last year
- A collection of implementations of adversarial domain adaptation algorithms☆627Updated 3 years ago
- Another Domain Adaptation library, aimed at researchers.☆97Updated this week
- A Pytorch-Lightning implementation of self-supervised algorithms☆537Updated 2 years ago
- code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Ad…☆450Updated last year
- All about domain generalization☆835Updated last month
- A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.☆559Updated last year
- PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results☆202Updated 10 months ago
- Awesome Domain Adaptation Python Toolbox☆327Updated 4 months ago
- The Official Repository for "Generalized OOD Detection: A Survey"☆453Updated 2 years ago
- 👽 Out-of-Distribution Detection with PyTorch☆282Updated 3 weeks ago
- Domain Generalization with MixStyle (ICLR'21)☆290Updated 2 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆160Updated last year
- VICRegL official code base☆226Updated 2 years ago
- Official repo for our ICLR 22 Oral paper: "Open-Set Recognition: a Good Closed-Set Classifier is All You Need?"☆280Updated 2 years ago
- A toolbox for domain adaptation and semi-supervised learning. Contributions welcome.☆337Updated 3 years ago
- ☆408Updated 3 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆136Updated last year
- Masked Siamese Networks for Label-Efficient Learning (https://arxiv.org/abs/2204.07141)☆455Updated 2 years ago
- Implementation of Supervised Contrastive Learning with AMP, EMA, SWA, and many other tricks☆168Updated 2 years ago
- Implementation of Pixel-level Contrastive Learning, proposed in the paper "Propagate Yourself", in Pytorch☆259Updated 4 years ago
- PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.☆781Updated 10 months ago
- EsViT: Efficient self-supervised Vision Transformers☆410Updated last year
- Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"☆771Updated last year
- PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"☆581Updated 2 years ago
- Gradient Reversal Layer for Domain Adaptation☆116Updated 2 years ago
- Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning☆132Updated 2 years ago
- Compare neural networks by their feature similarity☆354Updated last year