☆1,146Mar 24, 2023Updated 3 years ago
Alternatives and similar repositories for mixmatch
Users that are interested in mixmatch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"☆653Nov 2, 2023Updated 2 years ago
- Pytorch Implementation of the paper MixMatch: A Holistic Approach to Semi-Supervised Learning (https://arxiv.org/pdf/1905.02249.pdf)☆123May 30, 2019Updated 6 years ago
- ☆131Nov 21, 2022Updated 3 years ago
- A simple method to perform semi-supervised learning with limited data.☆1,207Jul 30, 2024Updated last year
- Unsupervised Data Augmentation (UDA)☆2,202Aug 28, 2021Updated 4 years ago
- A state-of-the-art semi-supervised method for image recognition☆1,659Oct 8, 2020Updated 5 years ago
- Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"☆459Jul 14, 2019Updated 6 years ago
- Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"☆797May 11, 2023Updated 2 years ago
- Code for reproducing ICT (published in Neural Networks 2022, and in IJCAI 2019)☆148Oct 16, 2022Updated 3 years ago
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty☆988Mar 12, 2026Updated last week
- Code for the CVPR 2020 [ORAL] paper "SAM: The Sensitivity of Attribution Methods to Hyperparameters"☆27Dec 8, 2022Updated 3 years ago
- SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners☆4,467May 22, 2023Updated 2 years ago
- Scaling and Benchmarking Self-Supervised Visual Representation Learning☆587Oct 12, 2021Updated 4 years ago
- Improving Consistency-Based Semi-Supervised Learning with Weight Averaging☆188Feb 3, 2019Updated 7 years ago
- Official Implementation of 'Fast AutoAugment' in PyTorch.☆1,610Jun 16, 2021Updated 4 years ago
- An unofficial implementation of MixMatch using fastai and Pytorch☆23Jan 15, 2020Updated 6 years ago
- mixup: Beyond Empirical Risk Minimization☆1,199Oct 12, 2021Updated 4 years ago
- [arXiv 2019] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis☆1,334Nov 10, 2020Updated 5 years ago
- ☆14Jul 2, 2019Updated 6 years ago
- PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch☆453Mar 13, 2023Updated 3 years ago
- Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning☆576Sep 14, 2020Updated 5 years ago
- There and Back Again: Revisiting Backpropagation Saliency Methods (CVPR 2020)☆53Apr 7, 2020Updated 5 years ago
- Code for reproducing Manifold Mixup results (ICML 2019)☆492Mar 31, 2024Updated last year
- Weakly Supervised Learning On Images☆602Oct 14, 2021Updated 4 years ago
- [ICCV 2019 oral] Code for Semi-Supervised Learning by Augmented Distribution Alignment☆62Feb 13, 2022Updated 4 years ago
- Run fully connected artificial neural networks with dropout applied (mini)batchwise, rather than samplewise. Given two hidden layers each…☆15May 18, 2015Updated 10 years ago
- Estimating Example Difficulty using Variance of Gradients☆64Jan 10, 2023Updated 3 years ago
- pip install antialiased-cnns to improve stability and accuracy☆1,681Apr 8, 2024Updated last year
- 😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.☆1,853May 24, 2024Updated last year
- A lightweight experimental logging library☆52Dec 23, 2025Updated 3 months ago
- [NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning☆756Apr 3, 2021Updated 4 years ago
- A easy to use API to store outputs from forward/backward hooks in Pytorch☆36Aug 19, 2019Updated 6 years ago
- ☆352Feb 13, 2020Updated 6 years ago
- Code for Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights☆184May 2, 2019Updated 6 years ago
- Unofficial PyTorch Implementation of Unsupervised Data Augmentation.☆148Oct 19, 2020Updated 5 years ago
- A curated list of resources for Learning with Noisy Labels☆2,720May 3, 2025Updated 10 months ago
- A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch☆2,055Jul 17, 2023Updated 2 years ago
- Collection of machine learning research paper references☆26Feb 23, 2025Updated last year
- Virtual adversarial training with Tensorflow☆254Jul 2, 2018Updated 7 years ago