moskomule / sam.pytorchLinks
A PyTorch implementation of Sharpness-Aware Minimization for Efficiently Improving Generalization
☆135Updated 4 years ago
Alternatives and similar repositories for sam.pytorch
Users that are interested in sam.pytorch are comparing it to the libraries listed below
Sorting:
- Implementation of ResMLP, an all MLP solution to image classification, in Pytorch☆198Updated 2 years ago
- This is the official implementation of TrivialAugment and a mini-library for the application of multiple image augmentation strategies in…☆159Updated 2 years ago
- Differentiable Data Augmentation Library☆123Updated 2 years ago
- Implementation of ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks, ICML 2021.☆145Updated 3 years ago
- NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/☆345Updated last year
- When Does Label Smoothing Help?_pytorch_implementationimp☆124Updated 5 years ago
- Pytorch Implementation of Deep Networks with Stochastic Depth☆63Updated 6 years ago
- Official implementation of 'FMix: Enhancing Mixed Sample Data Augmentation'☆336Updated 4 years ago
- A pytorch implementation of paper 'Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation', …☆176Updated 3 years ago
- ☆598Updated 7 months ago
- PyTorch repository for ICLR 2022 paper (GSAM) which improves generalization (e.g. +3.8% top-1 accuracy on ImageNet with ViT-B/32)☆143Updated 2 years ago
- Official PyTorch implementation of the paper: "Solving ImageNet: a Unified Scheme for Training any Backbone to Top Results" (2022)☆193Updated 2 years ago
- [ECCV2020] Knowledge Distillation Meets Self-Supervision☆237Updated 2 years ago
- MUXConv: Information Multiplexing in Convolutional Neural Networks (CVPR '20), Pytorch Implementation☆51Updated 4 years ago
- Unofficial implementation of MLP-Mixer: An all-MLP Architecture for Vision☆217Updated 4 years ago
- Unofficial PyTorch implementation of "Meta Pseudo Labels"☆387Updated last year
- [NeurIPS 2021] Official codes for "Efficient Training of Visual Transformers with Small Datasets".☆143Updated 5 months 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
- Implementation of Visual Transformer for Small-size Datasets☆124Updated 3 years ago
- ☆95Updated 2 years ago
- Official Pytorch implementation of MixMo framework☆84Updated 3 years ago
- a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.☆170Updated 2 years ago
- Implementation of Online Label Smoothing in PyTorch☆94Updated 2 years ago
- Code for the Convolutional Vision Transformer (ConViT)☆465Updated 3 years ago
- [Preprint] ConvMLP: Hierarchical Convolutional MLPs for Vision, 2021☆167Updated 2 years ago
- Official PyTorch implementation of "Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup" (ICML'20)☆159Updated 3 years ago
- Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels☆295Updated 2 years ago
- Learning Rate Warmup in PyTorch☆410Updated 2 months ago
- PyTorch implementation of AutoAugment.☆159Updated 4 years ago
- Tiny PyTorch library for maintaining a moving average of a collection of parameters.☆429Updated 8 months ago