moskomule / mixup.pytorchLinks
an implementation of mixup
☆41Updated 4 years ago
Alternatives and similar repositories for mixup.pytorch
Users that are interested in mixup.pytorch are comparing it to the libraries listed below
Sorting:
- Implementing MixNet: Mixed Depthwise Convolutional Kernels using Pytorch☆62Updated 5 years ago
- A Pytorch implementation of https://arxiv.org/abs/1810.12348.☆37Updated 6 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆102Updated 5 years ago
- supervised and semi-supervised image classification with self-supervision (Keras)☆45Updated 4 years ago
- ☆26Updated 4 years ago
- PyTorch implementation of "Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks"☆88Updated 5 years ago
- [NeurIPS'20] GradAug: A New Regularization Method for Deep Neural Networks☆94Updated 4 years ago
- This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip…☆77Updated 3 years ago
- Implementation of Online Label Smoothing in PyTorch☆94Updated 2 years ago
- Differentiable Data Augmentation Library☆123Updated 2 years ago
- Official repository for Big-Little Net☆58Updated 6 years ago
- PyTorch implementation of "EfficientNet", ICML 2019☆45Updated 6 years ago
- Torch implementation of the paper "ShakeDrop regularization" (https://arxiv.org/abs/1802.02375).☆21Updated 7 years ago
- ☆71Updated 5 years ago
- Unofficial PyTorch Implementation of EvoNorm☆122Updated 3 years ago
- Implementation of several knowledge distillation techniques on PyTorch☆15Updated 6 years ago
- A PyTorch implementation for Unsupervised Data Augmentation☆23Updated 2 years ago
- PyTorch implementation of RICAP (Random Image Cropping And Patching)☆39Updated 6 years ago
- Unofficial PyTorch implementation of "Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Ne…☆22Updated 5 years ago
- Implementation from the paper Attention Augmented Convolutional Networks in Tensorflow (https://arxiv.org/pdf/1904.09925v1.pdf)☆46Updated 6 years ago
- Multi-Label Image Classification via Knowledge Distillation from Weakly-Supervised Detection (ACM MM 2018)☆58Updated 3 years ago
- Pytorch implementation of CVPR2021 paper: SuperMix: Supervising the Mixing Data Augmentation☆92Updated 3 years ago
- AReLU: Attention-based-Rectified-Linear-Unit☆62Updated 3 years ago
- Implementation of various Vision Transformers I found interesting☆84Updated 4 years ago
- Pytorch implementation of Robust Bi-Tempered Logistic Loss Based on Bregman Divergences☆62Updated 5 years ago
- Implementing Billion-scale semi-supervised learning for image classification using Pytorch☆95Updated 6 years ago
- Unsupervised Data Augmentation experiments in PyTorch☆60Updated 5 years ago
- The official implementation of paper "Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch Noise".☆40Updated 2 years ago
- AAAI 2021: Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels☆23Updated 4 years ago
- This repository contains some of the latest data augmentation techniques and optimizers for image classification using pytorch and the CI…☆29Updated 3 years ago