calclavia / Performer-Pytorch
Pytorch implementation of Performer from the paper "Rethinking Attention with Performers".
☆24Updated 4 years ago
Alternatives and similar repositories for Performer-Pytorch:
Users that are interested in Performer-Pytorch are comparing it to the libraries listed below
- Official PyTorch implementation of Time-aware Large Kernel (TaLK) Convolutions (ICML 2020)☆29Updated 4 years ago
- ICLR 2021 (spotlight): Graph Convolution with Low-rank Learnable Local Filters☆15Updated 4 years ago
- Implementation of OmniNet, Omnidirectional Representations from Transformers, in Pytorch☆57Updated 3 years ago
- PyTorch implementation of Pay Attention to MLPs☆40Updated 3 years ago
- A Pytorch implementation of Attention on Attention module (both self and guided variants), for Visual Question Answering☆40Updated 4 years ago
- code for Explicit Sparse Transformer☆57Updated last year
- Learning to Encode Position for Transformer with Continuous Dynamical Model☆59Updated 4 years ago
- Unofficial PyTorch implementation of the paper "cosFormer: Rethinking Softmax In Attention".☆44Updated 3 years ago
- Locally Enhanced Self-Attention: Rethinking Self-Attention as Local and Context Terms☆20Updated 3 years ago
- This repository contains the code for the paper in Findings of EMNLP 2021: "EfficientBERT: Progressively Searching Multilayer Perceptron …☆32Updated last year
- Implementation of Long-Short Transformer, combining local and global inductive biases for attention over long sequences, in Pytorch☆118Updated 3 years ago
- Implementation for NATv2.☆23Updated 3 years ago
- ☆23Updated 4 years ago
- Implementation of the Remixer Block from the Remixer paper, in Pytorch☆35Updated 3 years ago
- Implementation of Mogrifier LSTM in PyTorch☆35Updated 4 years ago
- ☆22Updated 4 years ago
- A pytorch realization of adafactor (https://arxiv.org/pdf/1804.04235.pdf )☆23Updated 5 years ago
- Implementing SYNTHESIZER: Rethinking Self-Attention in Transformer Models using Pytorch☆70Updated 4 years ago
- Implementation of the retriever distillation procedure as outlined in the paper "Distilling Knowledge from Reader to Retriever"☆32Updated 4 years ago
- ☆11Updated 4 years ago
- Code for paper 'Minimizing FLOPs to Learn Efficient Sparse Representations' published at ICLR 2020☆20Updated 4 years ago
- Code for "Understanding and Improving Layer Normalization"☆46Updated 5 years ago
- Code of our Neurips2020 paper "Auto Learning Attention", coming soon☆21Updated 3 years ago
- Official Pytorch Implementation for the paper 'SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients'☆17Updated 3 years ago
- Implementation of a Transformer using ReLA (Rectified Linear Attention) from https://arxiv.org/abs/2104.07012☆49Updated 2 years ago
- [ACM MM 2020] DWC-GAN.☆32Updated 3 years ago
- Implementation of Spectral Leakage and Rethinking the Kernel Size in CNNs in Pytorch☆14Updated 3 years ago
- Sparse Attention with Linear Units☆17Updated 3 years ago
- Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".☆21Updated 3 years ago