moskomule / homuraLinks
homura is a library for fast prototyping DL research
☆106Updated 3 years ago
Alternatives and similar repositories for homura
Users that are interested in homura are comparing it to the libraries listed below
Sorting:
- Mish Deep Learning Activation Function for PyTorch / FastAI☆161Updated 5 years ago
- Utilities for Pytorch☆88Updated 2 years ago
- Unofficial PyTorch Implementation of EvoNorm☆122Updated 4 years ago
- A simpler version of the self-attention layer from SAGAN, and some image classification results.☆212Updated 5 years ago
- SSL using PyTorch☆49Updated 5 years ago
- Differentiable Data Augmentation Library☆123Updated 3 years ago
- Implementation and experiments for AdamW on Pytorch☆94Updated 5 years ago
- PyTorch implementation of "EfficientNet", ICML 2019☆45Updated 6 years ago
- PyTorch implementation of "Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks"☆88Updated 5 years ago
- Implementation of tools to control and monitor layer rotation in different DL libraries☆40Updated 6 years ago
- "Layer-wise Adaptive Rate Scaling" in PyTorch☆87Updated 4 years ago
- Implementing MixNet: Mixed Depthwise Convolutional Kernels using Pytorch☆62Updated 5 years ago
- Implementation of Octave Convolution from Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convol …☆57Updated 6 years ago
- A PyTorch implementation of shake-shake☆111Updated 5 years ago
- Example code showing how to use Nvidia DALI in pytorch, with fallback to torchvision. Contains a few differences to the official Nvidia …☆197Updated 5 years ago
- A Pytorch implementation of "LegoNet: Efficient Convolutional Neural Networks with Lego Filters" (ICML 2019).☆140Updated 4 years ago
- Code for https://arxiv.org/abs/1810.04622☆141Updated 6 years ago
- PyTorch implementation of shake-drop regularization☆55Updated 5 years ago
- A pytorch dataset sampler for always sampling balanced batches.☆116Updated 4 years ago
- A Pytorch implementation of Fast AutoAugment and EfficientNet☆119Updated 6 years ago
- Filter Response Normalization Layer in PyTorch☆121Updated 5 years ago
- ☆35Updated 6 years ago
- A Re-implementation of Fixed-update Initialization☆155Updated 6 years ago
- Pytorch Implementation of Visual Explanations from Deep Networks via Gradient-based Localization☆127Updated 7 years ago
- an implementation of mixup☆41Updated 5 years ago
- ☆182Updated 2 years ago
- PyTorch implementation of shake-shake regularization☆48Updated 5 years ago
- An official collection of code in different frameworks that reproduces experiments in "Group Normalization"☆117Updated 4 years ago
- On Network Design Spaces for Visual Recognition☆96Updated 5 years ago
- Code for reproducing results of the paper "Layer rotation: a surprisingly powerful indicator of generalization in deep networks?"☆50Updated 6 years ago