dkumazawa / onecyclelrLinks
One cycle policy learning rate scheduler in PyTorch
☆46Updated 6 years ago
Alternatives and similar repositories for onecyclelr
Users that are interested in onecyclelr are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of Robust Bi-Tempered Logistic Loss Based on Bregman Divergences☆62Updated 5 years ago
- Unofficial PyTorch Implementation of EvoNorm☆122Updated 3 years ago
- Mish Deep Learning Activation Function for PyTorch / FastAI☆161Updated 5 years ago
- ☆35Updated 5 years ago
- PyTorch implementation of "Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks"☆88Updated 5 years ago
- AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - …☆207Updated 3 years ago
- PyTorch implementations of `BatchSampler` that under/over sample according to a chosen parameter alpha, in order to create a balanced tra…☆85Updated 5 years ago
- Useful PyTorch functions and modules that are not implemented in PyTorch by default☆188Updated last year
- A simpler version of the self-attention layer from SAGAN, and some image classification results.☆212Updated 5 years ago
- Tool box for PyTorch☆189Updated 3 months ago
- Semi-supervised ImageNet1K models☆244Updated 5 years ago
- The service for the demonstration of transforms in Albumentations library☆106Updated last year
- Repo to build on / reproduce the record breaking Ranger-Mish-SelfAttention setup on FastAI ImageWoof dataset 5 epochs☆116Updated 5 years ago
- A PyTorch implementation of "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks".☆113Updated last month
- Gradient based receptive field estimation for Convolutional Neural Networks☆339Updated 5 years ago
- Implementation of MobileNetV3 in pytorch☆89Updated 6 years ago
- Provides everything needed for high performance data loading and augmentation in pytorch.☆319Updated last year
- Utilities for Pytorch☆89Updated 2 years ago
- Official implementation of 'FMix: Enhancing Mixed Sample Data Augmentation'☆337Updated 4 years ago
- Pre-trained NFNets with 99% of the accuracy of the official paper "High-Performance Large-Scale Image Recognition Without Normalization".☆159Updated 4 years ago
- Implements https://arxiv.org/abs/1711.05101 AdamW optimizer, cosine learning rate scheduler and "Cyclical Learning Rates for Training Neu…☆149Updated 6 years ago
- Helpers for detectron2☆40Updated 5 years ago
- Pytorch notebook with One Cycle Policy implementation (https://arxiv.org/abs/1803.09820)☆74Updated 3 years ago
- PyTorch implementation of "SRM : A Style-based Recalibration Module for Convolutional Neural Networks"☆81Updated 6 years ago
- homura is a library for fast prototyping DL research☆106Updated 3 years ago
- SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data (AAAI 2021)☆128Updated 4 years ago
- Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019☆265Updated 5 years ago
- Over9000 optimizer☆426Updated 2 years ago
- Streaming over lightweight data transformations☆265Updated last month
- Learning computer vision by striving to maximise accuracy on the Stanford Cars dataset☆57Updated 5 years ago