vballoli / nfnets-pytorchLinks
NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/
☆349Updated 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:
- Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)☆478Updated 11 months ago
- Pre-trained NFNets with 99% of the accuracy of the official paper "High-Performance Large-Scale Image Recognition Without Normalization".☆160Updated 4 years ago
- Code for the Convolutional Vision Transformer (ConViT)☆470Updated 4 years ago
- Official implementation of 'FMix: Enhancing Mixed Sample Data Augmentation'☆339Updated 4 years ago
- 🛠 Toolbox to extend PyTorch functionalities☆419Updated last year
- A PyTorch implementation of "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks".☆113Updated last week
- Compute CNN receptive field size in pytorch in one line☆365Updated last year
- a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.☆170Updated 3 years ago
- Is the attention layer even necessary? (https://arxiv.org/abs/2105.02723)☆483Updated 4 years ago
- Implementing Lambda Networks using Pytorch☆141Updated 5 years ago
- Tool box for PyTorch☆188Updated 7 months ago
- A New Optimization Technique for Deep Neural Networks☆541Updated 3 years ago
- Useful PyTorch functions and modules that are not implemented in PyTorch by default☆189Updated last year
- Provides everything needed for high performance data loading and augmentation in pytorch.☆319Updated last year
- MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.☆698Updated 3 years ago
- Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper☆776Updated 2 years ago
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty☆987Updated 6 months ago
- Implementation of Bottleneck Transformer in Pytorch☆677Updated 4 years ago
- Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorc…☆309Updated 3 years ago
- AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - …☆207Updated 4 years ago
- Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models☆453Updated 3 years ago
- Unofficial PyTorch Reimplementation of RandAugment.☆638Updated 2 years ago
- PyTorch implementations of recent Computer Vision tricks (ReXNet, RepVGG, Unet3p, YOLOv4, CIoU loss, AdaBelief, PolyLoss, MobileOne). Oth…☆328Updated last week
- Escaping the Big Data Paradigm with Compact Transformers, 2021 (Train your Vision Transformers in 30 mins on CIFAR-10 with a single GPU!)☆537Updated last year
- Over9000 optimizer☆424Updated 3 years ago
- ☆405Updated 3 years ago
- Implementation of ConvMixer for "Patches Are All You Need? 🤷"☆1,078Updated 3 years ago
- Implementing Stand-Alone Self-Attention in Vision Models using Pytorch☆455Updated 5 years ago
- A PyTorch implementation of Sharpness-Aware Minimization for Efficiently Improving Generalization☆135Updated 4 years ago
- Implementation of the 😇 Attention layer from the paper, Scaling Local Self-Attention For Parameter Efficient Visual Backbones☆200Updated 4 years ago