vballoli / nfnets-pytorchLinks
NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/
☆347Updated last year
Alternatives and similar repositories for nfnets-pytorch
Users that are interested in nfnets-pytorch are comparing it to the libraries listed below
Sorting:
- Pre-trained NFNets with 99% of the accuracy of the official paper "High-Performance Large-Scale Image Recognition Without Normalization".☆159Updated 4 years ago
- Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)☆475Updated 8 months ago
- Official implementation of 'FMix: Enhancing Mixed Sample Data Augmentation'☆338Updated 4 years ago
- a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.☆170Updated 2 years ago
- Code for the Convolutional Vision Transformer (ConViT)☆468Updated 3 years ago
- 🛠 Toolbox to extend PyTorch functionalities☆420Updated last year
- Implementing Lambda Networks using Pytorch☆140Updated 4 years ago
- Is the attention layer even necessary? (https://arxiv.org/abs/2105.02723)☆486Updated 4 years ago
- Compute CNN receptive field size in pytorch in one line☆361Updated last year
- Unofficial PyTorch Reimplementation of RandAugment.☆636Updated 2 years ago
- A New Optimization Technique for Deep Neural Networks☆537Updated 3 years ago
- MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.☆696Updated 3 years ago
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty☆991Updated 2 months ago
- Tool box for PyTorch☆189Updated 4 months ago
- Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models☆453Updated 3 years ago
- Useful PyTorch functions and modules that are not implemented in PyTorch by default☆188Updated last year
- Implementing Stand-Alone Self-Attention in Vision Models using Pytorch☆455Updated 5 years ago
- Code for Noisy Student Training. https://arxiv.org/abs/1911.04252☆764Updated 4 years ago
- Escaping the Big Data Paradigm with Compact Transformers, 2021 (Train your Vision Transformers in 30 mins on CIFAR-10 with a single GPU!)☆536Updated 9 months ago
- Over9000 optimizer☆425Updated 2 years ago
- Semi-supervised ImageNet1K models☆244Updated 5 years ago
- Implementation of Bottleneck Transformer in Pytorch☆677Updated 3 years ago
- A Pytorch-Lightning implementation of self-supervised algorithms☆543Updated 3 years ago
- ☆402Updated 2 years ago
- Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorc…☆305Updated 3 years ago
- A PyTorch implementation of "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks".☆113Updated last week
- Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute☆1,532Updated 4 years ago
- A PyTorch implementation of Sharpness-Aware Minimization for Efficiently Improving Generalization☆135Updated 4 years ago
- Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper☆770Updated 2 years ago
- Provides everything needed for high performance data loading and augmentation in pytorch.☆319Updated last year