clovaai / AdamPLinks
AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights (ICLR 2021)
☆415Updated 4 years ago
Alternatives and similar repositories for AdamP
Users that are interested in AdamP are comparing it to the libraries listed below
Sorting:
- Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models☆451Updated 3 years ago
- a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.☆170Updated 2 years ago
- PyTorch Model Compression☆234Updated 2 years ago
- A LARS implementation in PyTorch☆345Updated 5 years ago
- Automatic Mixed Precision Tutorials using pytorch. Based on PyTorch 1.6 Official Features, implement classification codebase using custo…☆89Updated 4 years ago
- Unofficial PyTorch Implementation of EvoNorm☆122Updated 3 years ago
- Official PyTorch implementation of "Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup" (ICML'20)☆159Updated 3 years ago
- Unofficial Pytorch code for "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence" in NeurIPS'20. This repo co…☆190Updated 4 years ago
- Tensorflow Implementation of "Slowing Down the Weight Norm Increase in Momentum-based Optimizers"☆47Updated 4 years ago
- Over9000 optimizer☆426Updated 2 years ago
- Learning Features with Parameter-Free Layers, ICLR 2022☆84Updated 2 years ago
- NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/☆345Updated last year
- A specially designed light version of Fast AutoAugment☆171Updated 5 years ago
- A PyTorch implementation of "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks".☆113Updated 2 weeks ago
- FrostNet: Towards Quantization-Aware Network Architecture Search☆105Updated last year
- Unofficial PyTorch Reimplementation of RandAugment.☆636Updated 2 years ago
- Tiny PyTorch library for maintaining a moving average of a collection of parameters.☆429Updated 8 months ago
- ☆245Updated 3 years ago
- Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"☆327Updated 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
- Collection of the latest, greatest, deep learning optimizers (for Pytorch) - CNN, NLP suitable☆215Updated 4 years ago
- Official implementation of 'FMix: Enhancing Mixed Sample Data Augmentation'☆336Updated 4 years ago
- ☆403Updated 2 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
- Implementing Stand-Alone Self-Attention in Vision Models using Pytorch☆455Updated 5 years ago
- 🛠 Toolbox to extend PyTorch functionalities☆421Updated last year
- Deep Learning project template for PyTorch (multi-gpu training is supported)☆138Updated last year
- Multi GPU Training Code for Deep Learning with PyTorch☆206Updated 2 months ago
- Is the attention layer even necessary? (https://arxiv.org/abs/2105.02723)☆484Updated 4 years ago
- Differentiable Data Augmentation Library☆123Updated 2 years ago