lukemelas / do-you-even-need-attention
Is the attention layer even necessary? (https://arxiv.org/abs/2105.02723)
☆484Updated 3 years ago
Alternatives and similar repositories for do-you-even-need-attention:
Users that are interested in do-you-even-need-attention are comparing it to the libraries listed below
- Official PyTorch Implementation of Long-Short Transformer (NeurIPS 2021).☆225Updated 2 years ago
- NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/☆345Updated last year
- Estimate/count FLOPS for a given neural network using pytorch☆303Updated 2 years 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 ConvMixer for "Patches Are All You Need? 🤷"☆1,071Updated 2 years ago
- Implementation of the 😇 Attention layer from the paper, Scaling Local Self-Attention For Parameter Efficient Visual Backbones☆198Updated 4 years ago
- Useful PyTorch functions and modules that are not implemented in PyTorch by default☆187Updated 11 months ago
- ☆245Updated 3 years ago
- Seamless analysis of your PyTorch models (RAM usage, FLOPs, MACs, receptive field, etc.)☆218Updated last week
- Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorc…☆304Updated 3 years ago
- A LARS implementation in PyTorch☆343Updated 5 years ago
- Labels and other data for the paper "Are we done with ImageNet?"☆190Updated 3 years ago
- Code for the Convolutional Vision Transformer (ConViT)☆467Updated 3 years ago
- EsViT: Efficient self-supervised Vision Transformers☆410Updated last year
- Collection of the latest, greatest, deep learning optimizers (for Pytorch) - CNN, NLP suitable☆212Updated 3 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!)☆521Updated 4 months ago
- Ranger deep learning optimizer rewrite to use newest components☆328Updated last year
- Fully featured implementation of Routing Transformer☆291Updated 3 years ago
- Implementation of gMLP, an all-MLP replacement for Transformers, in Pytorch☆424Updated 3 years ago
- Code to reproduce the results in the FAIR research papers "Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting V…☆487Updated last year
- Implementing Lambda Networks using Pytorch☆139Updated 4 years ago
- PyTorch dataset extended with map, cache etc. (tensorflow.data like)☆329Updated 2 years ago
- Implementation of ResMLP, an all MLP solution to image classification, in Pytorch☆197Updated 2 years ago
- Nested Hierarchical Transformer https://arxiv.org/pdf/2105.12723.pdf☆196Updated 8 months ago
- ☆376Updated last year
- Cockpit: A Practical Debugging Tool for Training Deep Neural Networks☆474Updated 2 years ago
- Sinkhorn Transformer - Practical implementation of Sparse Sinkhorn Attention☆260Updated 3 years ago
- Implementation of Online Label Smoothing in PyTorch☆94Updated 2 years ago
- Example code showing how to use Nvidia DALI in pytorch, with fallback to torchvision. Contains a few differences to the official Nvidia …☆197Updated 5 years ago
- Tiny PyTorch library for maintaining a moving average of a collection of parameters.☆427Updated 6 months ago