vfdev-5 / UDA-pytorchLinks
Unsupervised Data Augmentation experiments in PyTorch
☆59Updated 6 years ago
Alternatives and similar repositories for UDA-pytorch
Users that are interested in UDA-pytorch are comparing it to the libraries listed below
Sorting:
- ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels☆91Updated 4 years ago
- ☆53Updated 4 years ago
- A PyTorch implementation for Unsupervised Data Augmentation☆23Updated 2 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).☆34Updated 6 years ago
- PyTorch Examples repo for "ReZero is All You Need: Fast Convergence at Large Depth"☆62Updated last year
- Weighted Focal Loss for multilabel classification☆55Updated 6 years ago
- PyTorch implementation of "SNAPSHOT ENSEMBLES: TRAIN 1, GET M FOR FREE" [WIP]☆36Updated 8 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆101Updated 5 years ago
- Implementation of soft parameter sharing for neural networks☆70Updated 4 years ago
- pytorch implement of Lookahead Optimizer☆195Updated 3 years ago
- Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"☆155Updated 5 years ago
- NeurIPS 2019 - Learning Data Manipulation for Augmentation and Weighting☆110Updated 5 years ago
- an implementation of mixup☆41Updated 5 years ago
- PyTorch implementation of "EfficientNet", ICML 2019☆45Updated 6 years ago
- Notes and tutorials on "Mutual information and self-supervised learning"☆39Updated 5 years ago
- Implementation of Online Label Smoothing in PyTorch☆95Updated 3 years ago
- An implementation of MixMatch with PyTorch☆36Updated 4 years ago
- Unofficial PyTorch Implementation of Unsupervised Data Augmentation.☆148Updated 5 years ago
- Role-Wise Data Augmentation for Knowledge Distillation☆19Updated 2 years ago
- Improving generalization by controlling label-noise information in neural network weights.☆40Updated 4 years ago
- Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"☆119Updated 2 years ago
- Unofficial pytorch implementation of Born-Again Neural Networks.☆55Updated 4 years ago
- SSL using PyTorch☆49Updated 5 years ago
- [ICML 2020] code for the flooding regularizer proposed in "Do We Need Zero Training Loss After Achieving Zero Training Error?"☆93Updated 2 years ago
- Keras implementation of temporal ensembling(semi-supervised learning)☆22Updated 6 years ago
- A PyTorch implementation of our proposed loss function from the paper "SimLoss: Class Similarities in Cross Entropy"☆25Updated 4 years ago
- code scripts for blog posts I published☆13Updated 5 years ago
- ☆81Updated 2 years ago
- Re-implementation of the Noise Contrastive Estimation algorithm for pyTorch, following "Noise-contrastive estimation: A new estimation pr…☆44Updated 6 years ago
- A pytorch dataset sampler for always sampling balanced batches.☆118Updated 4 years ago