benjs / nfnets_pytorchLinks
Pre-trained NFNets with 99% of the accuracy of the official paper "High-Performance Large-Scale Image Recognition Without Normalization".
☆160Updated 4 years ago
Alternatives and similar repositories for nfnets_pytorch
Users that are interested in nfnets_pytorch are comparing it to the libraries listed below
Sorting:
- NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/☆349Updated last year
- Labels and other data for the paper "Are we done with ImageNet?"☆194Updated 3 years ago
- Useful PyTorch functions and modules that are not implemented in PyTorch by default☆188Updated last year
- Unofficial PyTorch Implementation of EvoNorm☆122Updated 4 years ago
- Implementing Lambda Networks using Pytorch☆140Updated 4 years ago
- A better PyTorch implementation of image local attention which reduces the GPU memory by an order of magnitude.☆141Updated 3 years ago
- Provides everything needed for high performance data loading and augmentation in pytorch.☆319Updated last year
- Implementation of the 😇 Attention layer from the paper, Scaling Local Self-Attention For Parameter Efficient Visual Backbones☆200Updated 4 years ago
- Is the attention layer even necessary? (https://arxiv.org/abs/2105.02723)☆486Updated 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
- Pytorch implementation of "An intriguing failing of convolutional neural networks and the CoordConv solution" - https://arxiv.org/abs/180…☆155Updated last year
- ☆246Updated 4 years ago
- One cycle policy learning rate scheduler in PyTorch☆46Updated 6 years ago
- A PyTorch implementation of "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks".☆113Updated last month
- Differentiable Data Augmentation Library☆123Updated 3 years ago
- This Python package enables the training and inference of deep learning models for very large data, such as megapixel images, using atten…☆97Updated 6 years ago
- Tool box for PyTorch☆189Updated 5 months ago
- Seamless analysis of your PyTorch models (RAM usage, FLOPs, MACs, receptive field, etc.)☆222Updated 6 months ago
- The PASS dataset: pretrained models and how to get the data☆266Updated 3 years ago
- [NeurIPS'20] GradAug: A New Regularization Method for Deep Neural Networks☆94Updated 4 years ago
- Feature extraction made simple with torchextractor☆101Updated 4 years ago
- Pytorch augmentation☆119Updated last year
- 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
- Code to reproduce the results in the FAIR research papers "Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting V…☆488Updated 2 years ago
- Nested Hierarchical Transformer https://arxiv.org/pdf/2105.12723.pdf☆198Updated last year
- Data Reading Blocks for Python☆105Updated 4 years ago
- EsViT: Efficient self-supervised Vision Transformers☆412Updated 2 years ago
- Implementation of Uniformer, a simple attention and 3d convolutional net that achieved SOTA in a number of video classification tasks, de…☆102Updated 3 years ago
- Implementation of Online Label Smoothing in PyTorch☆95Updated 3 years ago
- Code for the Convolutional Vision Transformer (ConViT)☆469Updated 3 years ago