lukemelas / do-you-even-need-attentionLinks
Is the attention layer even necessary? (https://arxiv.org/abs/2105.02723)
☆484Updated 4 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
Sorting:
- Pre-trained NFNets with 99% of the accuracy of the official paper "High-Performance Large-Scale Image Recognition Without Normalization".☆158Updated 4 years ago
- NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/☆350Updated last year
- Labels and other data for the paper "Are we done with ImageNet?"☆199Updated 4 years ago
- Official PyTorch Implementation of Long-Short Transformer (NeurIPS 2021).☆228Updated 3 years ago
- Code to reproduce the results in the FAIR research papers "Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting V…☆491Updated 2 years ago
- ☆388Updated 2 years ago
- ☆249Updated 3 years ago
- Implementation of popular SOTA self-supervised learning algorithms as Fastai Callbacks.☆327Updated 2 years ago
- Implementation of ConvMixer for "Patches Are All You Need? 🤷"☆1,078Updated 3 years ago
- Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorc…☆310Updated 4 years ago
- A LARS implementation in PyTorch☆353Updated 5 years ago
- Useful PyTorch functions and modules that are not implemented in PyTorch by default☆189Updated last year
- Estimate/count FLOPS for a given neural network using pytorch☆305Updated 3 years ago
- Code for the Convolutional Vision Transformer (ConViT)☆470Updated 4 years ago
- Seamless analysis of your PyTorch models (RAM usage, FLOPs, MACs, receptive field, etc.)☆223Updated 9 months ago
- Fully featured implementation of Routing Transformer☆299Updated 4 years ago
- Collection of the latest, greatest, deep learning optimizers (for Pytorch) - CNN, NLP suitable☆217Updated 4 years ago
- A Pytorch-Lightning implementation of self-supervised algorithms☆545Updated 3 years ago
- Official code Cross-Covariance Image Transformer (XCiT)☆674Updated 4 years ago
- EsViT: Efficient self-supervised Vision Transformers☆411Updated 2 years ago
- PyTorch dataset extended with map, cache etc. (tensorflow.data like)☆332Updated 3 years ago
- Understanding Training Dynamics of Deep ReLU Networks☆305Updated 2 months ago
- Implementation of the 😇 Attention layer from the paper, Scaling Local Self-Attention For Parameter Efficient Visual Backbones☆200Updated 4 years ago
- Sinkhorn Transformer - Practical implementation of Sparse Sinkhorn Attention☆269Updated 4 years ago
- Helps you write algorithms in PyTorch that adapt to the available (CUDA) memory☆438Updated last year
- Unofficial PyTorch Implementation of EvoNorm☆123Updated 4 years ago
- Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities☆208Updated last year
- FFCV-SSL Fast Forward Computer Vision for Self-Supervised Learning.☆210Updated 2 years ago
- Implementation of Barlow Twins paper☆99Updated 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!)☆539Updated last year