dnddnjs / pytorch-cifar10Links
The state-of-the-art algorithms on CIFAR-10 dataset in PyTorch
☆59Updated 6 years ago
Alternatives and similar repositories for pytorch-cifar10
Users that are interested in pytorch-cifar10 are comparing it to the libraries listed below
Sorting:
- Class Activation Map(CAM) with Pytorch☆66Updated 5 years ago
- A Pytorch implementation of Fast AutoAugment and EfficientNet☆119Updated 6 years ago
- PyTorch implementation of AutoAugment.☆159Updated 5 years ago
- PyTorch implementation of shake-drop regularization☆55Updated 5 years ago
- When Does Label Smoothing Help?_pytorch_implementationimp☆125Updated 5 years ago
- Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)☆105Updated 5 years ago
- A PyTorch implementation of CutMix☆52Updated 6 years ago
- A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)☆273Updated 5 years ago
- Using Teacher Assistants to Improve Knowledge Distillation: https://arxiv.org/pdf/1902.03393.pdf☆259Updated 5 years ago
- Supervised NN for pre-training. with group normalization and weight standardization☆30Updated 5 years ago
- Multi-task learning for image classification implemented in PyTorch.☆98Updated 6 years ago
- Class Activation Map with Pytorch☆84Updated 5 years ago
- A neat pytorch implementation of nasnet and the ported weights from tensorflow☆76Updated 4 years ago
- Implementation of several knowledge distillation techniques on PyTorch☆15Updated 6 years ago
- Unofficial PyTorch Implementation of Unsupervised Data Augmentation.☆147Updated 4 years ago
- Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"☆327Updated 4 years ago
- A specially designed light version of Fast AutoAugment☆171Updated 5 years ago
- In this part, I've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)☆40Updated 5 years ago
- Knowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)☆71Updated 5 years ago
- a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.☆170Updated 2 years ago
- Unofficial PyTorch Reimplementation of AutoAugment and RandAugment.☆36Updated 3 years ago
- Class Activation Mapping written in PyTorch.☆152Updated 3 years ago
- Official Implementation of MEAL: Multi-Model Ensemble via Adversarial Learning on AAAI 2019☆177Updated 5 years ago
- SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY