mpyrozhok / adamwr
Implements https://arxiv.org/abs/1711.05101 AdamW optimizer, cosine learning rate scheduler and "Cyclical Learning Rates for Training Neural Networks" https://arxiv.org/abs/1506.01186 for PyTorch framework
☆149Updated 5 years ago
Alternatives and similar repositories for adamwr:
Users that are interested in adamwr are comparing it to the libraries listed below
- Standardizing weights to accelerate micro-batch training☆547Updated 2 years ago
- A PyTorch implementation of " EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks."☆309Updated 5 years ago
- Implementation and experiments for AdamW on Pytorch☆93Updated 5 years ago
- How to use Cross Replica / Synchronized Batchnorm in Pytorch☆249Updated 5 years ago
- lookahead optimizer (Lookahead Optimizer: k steps forward, 1 step back) for pytorch☆334Updated 5 years ago
- pytorch implement of Lookahead Optimizer☆189Updated 2 years ago
- Pytorch implementation of CoordConv introduced in 'An intriguing failing of convolutional neural networks and the CoordConv solution' pap…☆399Updated 6 years ago
- Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.☆592Updated 4 years ago
- PyTorch implementation of AutoAugment.☆158Updated 4 years ago
- A simpler version of the self-attention layer from SAGAN, and some image classification results.☆212Updated 5 years ago
- Implementations of ideas from recent papers☆391Updated 4 years ago
- Implements the unsupervised pre-training of convolutional neural networks☆249Updated 3 years ago
- Mish Deep Learning Activation Function for PyTorch / FastAI☆161Updated 4 years ago
- Scaling and Benchmarking Self-Supervised Visual Representation Learning☆585Updated 3 years ago
- Unofficial PyTorch Implementation of EvoNorm☆121Updated 3 years ago
- Utilities for Pytorch☆89Updated 2 years ago
- A New Optimization Technique for Deep Neural Networks☆535Updated 3 years ago
- Implementing Stand-Alone Self-Attention in Vision Models using Pytorch☆455Updated 5 years ago
- Improving Consistency-Based Semi-Supervised Learning with Weight Averaging☆185Updated 6 years ago
- Contains implementation of Guided Attention Inference Network (GAIN) presented in Tell Me Where to Look(CVPR 2018). This repository aims …☆236Updated 6 years ago
- Useful PyTorch functions and modules that are not implemented in PyTorch by default☆187Updated 9 months ago
- A Pytorch implementation of Fast AutoAugment and EfficientNet☆119Updated 5 years ago
- Synchronized Multi-GPU Batch Normalization☆223Updated 5 years ago
- PyTorch implementation of "Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks"☆86Updated 5 years ago
- 🛠 Toolbox to extend PyTorch functionalities☆419Updated 9 months ago
- Over9000 optimizer☆426Updated 2 years ago
- Gradient based receptive field estimation for Convolutional Neural Networks☆338Updated 5 years ago
- A Pytorch implementation of "LegoNet: Efficient Convolutional Neural Networks with Lego Filters" (ICML 2019).☆140Updated 4 years ago
- PyTorch code for softmax variants: center loss, cosface loss, large-margin gaussian mixture, COCOLoss, ring loss☆254Updated 6 years ago
- Pretrained bag-of-local-features neural networks☆312Updated 5 years ago