dkumazawa / onecyclelr
One cycle policy learning rate scheduler in PyTorch
☆46Updated 5 years ago
Alternatives and similar repositories for onecyclelr:
Users that are interested in onecyclelr are comparing it to the libraries listed below
- Unofficial PyTorch Implementation of EvoNorm☆121Updated 3 years ago
- Pytorch notebook with One Cycle Policy implementation (https://arxiv.org/abs/1803.09820)☆74Updated 2 years ago
- PyTorch implementation of "Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks"☆86Updated 5 years ago
- Mish Deep Learning Activation Function for PyTorch / FastAI☆161Updated 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
- ☆35Updated 5 years ago
- AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - …☆205Updated 3 years ago
- Provides everything needed for high performance data loading and augmentation in pytorch.☆319Updated last year
- A simpler version of the self-attention layer from SAGAN, and some image classification results.☆212Updated 5 years ago
- Utilities for Pytorch☆89Updated 2 years ago
- PyTorch implementations of `BatchSampler` that under/over sample according to a chosen parameter alpha, in order to create a balanced tra…☆84Updated 5 years ago
- Gradient based receptive field estimation for Convolutional Neural Networks☆338Updated 5 years ago
- Official implementation of 'FMix: Enhancing Mixed Sample Data Augmentation'☆333Updated 4 years ago
- Useful PyTorch functions and modules that are not implemented in PyTorch by default☆187Updated 11 months ago
- The service for the demonstration of transforms in Albumentations library☆106Updated 9 months ago
- Over9000 optimizer☆426Updated 2 years ago
- Implementation of MobileNetV3 in pytorch☆89Updated 5 years ago
- Learning computer vision by striving to maximise accuracy on the Stanford Cars dataset☆54Updated 5 years ago
- Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019☆264Updated 5 years ago
- A PyTorch implementation of "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks".☆113Updated last month
- A pytorch dataset sampler for always sampling balanced batches.☆114Updated 4 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
- Semi-supervised ImageNet1K models☆243Updated 5 years ago
- A Pytorch implementation of Fast AutoAugment and EfficientNet☆119Updated 5 years ago
- Pytorch implementation of Robust Bi-Tempered Logistic Loss Based on Bregman Divergences☆62Updated 5 years ago
- Model Scope in PyTorch (include Params, FLOPs, Madds).☆121Updated 5 years ago
- Differentiable Data Augmentation Library☆123Updated 2 years ago
- ☆54Updated 3 years ago
- PyTorch implementation of shake-drop regularization☆54Updated 4 years ago
- Batch normalization fusion for PyTorch☆197Updated 5 years ago