digantamisra98 / EvoNorm
Unofficial PyTorch Implementation of EvoNorm
☆121Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for EvoNorm
- PyTorch implementation of shake-drop regularization☆54Updated 4 years ago
- Mish Deep Learning Activation Function for PyTorch / FastAI☆160Updated 4 years ago
- ☆35Updated 5 years ago
- PyTorch implementation of "Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks"☆85Updated 4 years ago
- Implementing Lambda Networks using Pytorch☆138Updated 3 years ago
- A simpler version of the self-attention layer from SAGAN, and some image classification results.☆211Updated 5 years ago
- Utilities for Pytorch☆89Updated 2 years ago
- Pytorch implementation of the hamburger module from the ICLR 2021 paper "Is Attention Better Than Matrix Decomposition"☆98Updated 3 years ago
- One cycle policy learning rate scheduler in PyTorch☆46Updated 5 years ago
- Useful PyTorch functions and modules that are not implemented in PyTorch by default☆187Updated 6 months ago
- Semi-supervised ImageNet1K models☆241Updated 5 years ago
- Filter Response Normalization Layer in PyTorch☆121Updated 4 years ago
- Differentiable Data Augmentation Library☆120Updated 2 years ago
- Labels and other data for the paper "Are we done with ImageNet?"☆185Updated 2 years ago
- Pytorch implementation of Robust Bi-Tempered Logistic Loss Based on Bregman Divergences☆62Updated 5 years ago
- Repo to build on / reproduce the record breaking Ranger-Mish-SelfAttention setup on FastAI ImageWoof dataset 5 epochs☆116Updated 5 years ago
- ☆182Updated last year
- ☆54Updated 3 years ago
- [NeurIPS'20] GradAug: A New Regularization Method for Deep Neural Networks☆93Updated 3 years ago
- Implementation of Online Label Smoothing in PyTorch☆94Updated 2 years ago
- A PyTorch implementation of "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks".☆112Updated this week
- A Pytorch implementation of Fast AutoAugment and EfficientNet☆119Updated 5 years ago
- Implementing MixNet: Mixed Depthwise Convolutional Kernels using Pytorch☆61Updated 4 years ago
- homura is a library for fast prototyping DL research☆106Updated 2 years ago
- Example code showing how to use Nvidia DALI in pytorch, with fallback to torchvision. Contains a few differences to the official Nvidia …☆194Updated 4 years ago
- PyTorch implementation of "SRM : A Style-based Recalibration Module for Convolutional Neural Networks"☆81Updated 5 years ago
- "Learning Rate Dropout" in PyTorch☆34Updated 4 years ago
- A pytorch dataset sampler for always sampling balanced batches.☆110Updated 3 years ago
- Official implementation of 'FMix: Enhancing Mixed Sample Data Augmentation'☆332Updated 3 years ago