owruby / shake-shake_pytorch
PyTorch implementation of shake-shake regularization
☆48Updated 4 years ago
Alternatives and similar repositories for shake-shake_pytorch:
Users that are interested in shake-shake_pytorch are comparing it to the libraries listed below
- A PyTorch implementation of shake-shake☆111Updated 4 years ago
- PyTorch implementation of "Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks"☆86Updated 5 years ago
- ICLR 2018 reproducibility challenge - Multi-Scale Dense Convolutional Networks for Efficient Prediction☆136Updated 6 years ago
- SGDR with pytorch on CIFAR-10 (now superseded by official PyTorch CosineAnnealingLR)☆47Updated 5 years ago
- Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization at CVPR'19☆48Updated 5 years ago
- Implementation of Octave Convolution from Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convol…☆56Updated 5 years ago
- ☆90Updated 5 years ago
- Chainer Implementation of Parallel Grid Pooling for Data Augmentation☆42Updated 6 years ago
- Pytorch implementation of group normalization in https://arxiv.org/abs/1803.08494 (Following the PyTorch Style)☆87Updated 6 years ago
- An official collection of code in different frameworks that reproduces experiments in "Group Normalization"☆118Updated 3 years ago
- PyTorch implementation of shake-drop regularization☆54Updated 4 years ago
- PyTorch implementation of "EfficientNet", ICML 2019☆43Updated 5 years ago
- A PyTorch implementation of the paper Mixup: Beyond Empirical Risk Minimization in PyTorch☆123Updated 7 years ago
- ☆182Updated last year
- Metric learning models in PyTorch with results on CUB2011, CARS196, Stanford Online Products☆65Updated 3 years ago
- Gluon to PyTorch deep neural network model converter☆72Updated 3 years ago
- PyTorch implementation of Wide Residual Networks with 1-bit weights by McDonnell (ICLR 2018)☆125Updated 6 years ago
- Implementation of DropBlock in Pytorch☆81Updated 6 years ago
- PyTorch Implementation of 'Deep Networks with Stochastic Depth'☆28Updated 6 years ago
- Implementation of our accepted CVPR 2018 paper "Rethinking Feature Distribution for Loss Functions in Image Classification"☆172Updated 6 years ago
- Official repository for Big-Little Net☆58Updated 5 years ago
- Sparse Switchable Normalization with sparse activation function SparestMax☆64Updated 5 years ago
- Pytorch Implementation of Visual Explanations from Deep Networks via Gradient-based Localization☆126Updated 6 years ago
- Tensorflow Implementation on Paper [ECCV2018]Semi-Supervised Deep Learning with Memory☆47Updated 6 years ago
- PyTorch Computer Vision Foundation☆19Updated 5 years ago
- PyTorch implementation of Deep Randomized Ensembles for Metric Learning(ECCV2018)☆67Updated 4 years ago
- SparseMask: Differentiable Connectivity Learning for Dense Image Prediction.☆51Updated 5 years ago
- Code for the paper☆29Updated 5 years ago
- Torch implementation of the paper "ShakeDrop regularization" (https://arxiv.org/abs/1802.02375).☆21Updated 7 years ago
- Filter Response Normalization Layer in PyTorch☆121Updated 5 years ago