jaketae / fnet
PyTorch implementation of FNet: Mixing Tokens with Fourier transforms
☆25Updated 3 years ago
Alternatives and similar repositories for fnet:
Users that are interested in fnet are comparing it to the libraries listed below
- Implementation of the Remixer Block from the Remixer paper, in Pytorch☆35Updated 3 years ago
- A simple implementation of a deep linear Pytorch module☆19Updated 4 years ago
- A Pytorch implementation of Attention on Attention module (both self and guided variants), for Visual Question Answering☆41Updated 4 years ago
- A python library for highly configurable transformers - easing model architecture search and experimentation.☆49Updated 3 years ago
- Implementation of a Transformer using ReLA (Rectified Linear Attention) from https://arxiv.org/abs/2104.07012☆49Updated 2 years ago
- Virtual Adversarial Training (VAT) techniques in PyTorch☆17Updated 2 years ago
- Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method (NeurIPS 2021)☆60Updated 2 years ago
- ICLR 2021 (spotlight): Graph Convolution with Low-rank Learnable Local Filters☆15Updated 4 years ago
- Implementation of Multistream Transformers in Pytorch☆53Updated 3 years ago
- Code for the paper "Query-Key Normalization for Transformers"☆38Updated 4 years ago
- Implementation of COCO-LM, Correcting and Contrasting Text Sequences for Language Model Pretraining, in Pytorch☆45Updated 4 years ago
- ☆11Updated 3 years ago
- Code for the paper PermuteFormer☆42Updated 3 years ago
- Implementation of Long-Short Transformer, combining local and global inductive biases for attention over long sequences, in Pytorch☆118Updated 3 years ago
- Code repository for the AISTATS 2021 paper "Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms"☆15Updated 4 years ago
- A convolution-free, transformer-only version of the CycleGAN framework☆33Updated 3 years ago
- Local Attention - Flax module for Jax☆20Updated 3 years ago
- The official repository for our paper "The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns …☆16Updated last year
- CoaT: Co-Scale Conv-Attentional Image Transformers☆16Updated 3 years ago
- An implementation of (Induced) Set Attention Block, from the Set Transformers paper☆56Updated 2 years ago
- Implementation of "compositional attention" from MILA, a multi-head attention variant that is reframed as a two-step attention process wi…☆50Updated 2 years ago
- [EMNLP'19] Summary for Transformer Understanding☆53Updated 5 years ago
- Contains my experiments with the `big_vision` repo to train ViTs on ImageNet-1k.☆22Updated 2 years ago
- Axial Positional Embedding for Pytorch☆76Updated last month
- An attempt to merge ESBN with Transformers, to endow Transformers with the ability to emergently bind symbols☆15Updated 3 years ago
- ☆24Updated 10 months ago
- Official PyTorch implementation of Time-aware Large Kernel (TaLK) Convolutions (ICML 2020)☆29Updated 4 years ago
- Another attempt at a long-context / efficient transformer by me☆37Updated 2 years ago
- Fine-Tuning Pre-trained Transformers into Decaying Fast Weights☆19Updated 2 years ago
- Implementation of TableFormer, Robust Transformer Modeling for Table-Text Encoding, in Pytorch☆37Updated 2 years ago