siit-vtt / semi-supervised-learning-pytorchLinks
Several SSL methods (Pi model, Mean Teacher) are implemented in pytorch
☆83Updated 7 years ago
Alternatives and similar repositories for semi-supervised-learning-pytorch
Users that are interested in semi-supervised-learning-pytorch are comparing it to the libraries listed below
Sorting:
- Pytorch Implementation of Domain Generalization Using a Mixture of Multiple Latent Domains☆105Updated 4 years ago
- Code release for Transferable Curriculum for Weakly-Supervised Domain Adaptation (AAAI2019)☆18Updated 6 years ago
- Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"☆155Updated 5 years ago
- Domain Generalization via Model-Agnostic Learning of Semantic Features☆149Updated 2 years ago
- PyTorch implementation of Temporal Ensembling for Semi-Supervised Learning☆110Updated 7 years ago
- Semi-supervised Domain Adaptation via Minimax Entropy☆308Updated 2 years ago
- Code for reproducing ICT (published in Neural Networks 2022, and in IJCAI 2019)☆148Updated 3 years ago
- "Unified Deep Supervised Domain Adaptation and Generalization" (ICCV 2017)☆105Updated 5 years ago
- Official Implementation of "Domain Specific Batch Normalization for Unsupervised Domain Adaptation (CVPR2019)"☆162Updated 2 years ago
- Reimplementation of "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"☆79Updated 5 years ago
- Pytorch Code release for our NeurIPS paper "Multi-source Domain Adaptation for Semantic Segmentation"☆175Updated 5 years ago
- Code released for ICML 2019 paper "Bridging Theory and Algorithm for Domain Adaptation".☆141Updated 6 years ago
- Code for CVPR-2019 paper "Progressive Feature Alignment for Unsupervised Domain Adaptation"☆33Updated 6 years ago
- Unofficial implementation of the paper 'Deep Co-Training for Semi-Supervised Image Recognition'☆63Updated 6 years ago
- Code for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' [ICCV 2019]☆119Updated 5 years ago
- Code release for "Transferable Normalization: Towards Improving Transferability of Deep Neural Networks" (NeurIPS 2019)☆79Updated 5 years ago
- Code release for Discriminative Adversarial Domain Adaptation (AAAI2020).☆120Updated 5 years ago
- Code for CVPR 2019 paper Label Propagation for Deep Semi-supervised Learning☆117Updated 5 years ago
- PyTorch implementation of consistency regularization methods for semi-supervised learning☆78Updated 5 years ago
- The demo code for the MLDG paper "Learning to Generalize: Meta-Learning for Domain Generalization", https://arxiv.org/abs/1710.03463, htt…☆151Updated 6 years ago
- Implementation of Adversarial Domain Adaptation with Domain Mixup (AAAI 2020 Oral).☆164Updated 5 years ago
- Improving Consistency-Based Semi-Supervised Learning with Weight Averaging☆189Updated 7 years ago
- [AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning☆139Updated 5 years ago
- Meta-Learning based Noise-Tolerant Training☆123Updated 5 years ago
- Code for the paper "Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning" (NeurIPS 20)☆74Updated 3 years ago
- An unofficial PyTorch implementation for CVPR 2019 work "Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation"☆43Updated 6 years ago
- Code for "Adversarial-Learned Loss for Domain Adaptation"(AAAI2020) in PyTorch.☆54Updated 2 years ago
- ☆131Updated 3 years ago
- CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization☆127Updated 2 years ago
- PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018☆130Updated 6 years ago