benjs / nfnets_pytorch
Pre-trained NFNets with 99% of the accuracy of the official paper "High-Performance Large-Scale Image Recognition Without Normalization".
☆159Updated 3 years ago
Alternatives and similar repositories for nfnets_pytorch:
Users that are interested in nfnets_pytorch are comparing it to the libraries listed below
- NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/☆347Updated 11 months ago
- Implementing Lambda Networks using Pytorch☆138Updated 4 years ago
- Unofficial PyTorch Implementation of EvoNorm☆121Updated 3 years ago
- Provides everything needed for high performance data loading and augmentation in pytorch.☆317Updated last year
- Implementation of the 😇 Attention layer from the paper, Scaling Local Self-Attention For Parameter Efficient Visual Backbones☆198Updated 3 years ago
- Useful PyTorch functions and modules that are not implemented in PyTorch by default☆187Updated 8 months ago
- A better PyTorch implementation of image local attention which reduces the GPU memory by an order of magnitude.☆136Updated 3 years ago
- Differentiable Data Augmentation Library☆121Updated 2 years ago
- A PyTorch implementation of Sharpness-Aware Minimization for Efficiently Improving Generalization☆136Updated 3 years ago
- Labels and other data for the paper "Are we done with ImageNet?"☆188Updated 3 years ago
- Collection of the latest, greatest, deep learning optimizers (for Pytorch) - CNN, NLP suitable☆210Updated 3 years ago
- ☆244Updated 3 years ago
- [NeurIPS'20] GradAug: A New Regularization Method for Deep Neural Networks☆93Updated 4 years ago
- Implementation of Pixel-level Contrastive Learning, proposed in the paper "Propagate Yourself", in Pytorch☆258Updated 3 years ago
- PyTorch implementations of `BatchSampler` that under/over sample according to a chosen parameter alpha, in order to create a balanced tra…☆84Updated 5 years ago
- This is the official implementation of TrivialAugment and a mini-library for the application of multiple image augmentation strategies in…☆154Updated last year
- Implementation of Online Label Smoothing in PyTorch☆95Updated 2 years ago
- Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models☆454Updated 2 years ago
- PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers☆226Updated 3 years ago
- Nested Hierarchical Transformer https://arxiv.org/pdf/2105.12723.pdf☆195Updated 5 months ago
- Official PyTorch implementation of the paper: "Solving ImageNet: a Unified Scheme for Training any Backbone to Top Results" (2022)☆191Updated 2 years ago
- AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - …☆202Updated 3 years ago
- EsViT: Efficient self-supervised Vision Transformers☆409Updated last year
- Unofficial implementation of MLP-Mixer: An all-MLP Architecture for Vision☆214Updated 3 years ago
- (ICCV 2021 Oral) CoaT: Co-Scale Conv-Attentional Image Transformers☆231Updated 2 years ago
- ☆401Updated 2 years ago
- Is the attention layer even necessary? (https://arxiv.org/abs/2105.02723)☆483Updated 3 years ago
- Implementation of Uniformer, a simple attention and 3d convolutional net that achieved SOTA in a number of video classification tasks, de…☆98Updated 2 years ago
- ☆244Updated 2 years ago
- ☆47Updated 4 years ago