wilile26811249 / Fastformer-PyTorch
Unofficial PyTorch implementation of Fastformer based on paper "Fastformer: Additive Attention Can Be All You Need"."
☆134Updated 3 years ago
Alternatives and similar repositories for Fastformer-PyTorch:
Users that are interested in Fastformer-PyTorch are comparing it to the libraries listed below
- Implementation of Fast Transformer in Pytorch☆173Updated 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
- [ICML 2020] code for "PowerNorm: Rethinking Batch Normalization in Transformers" https://arxiv.org/abs/2003.07845☆119Updated 3 years ago
- Code for Multi-Head Attention: Collaborate Instead of Concatenate☆152Updated last year
- A PyTorch implementation of the paper - "Synthesizer: Rethinking Self-Attention in Transformer Models"☆73Updated 2 years ago
- Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method (NeurIPS 2021)☆60Updated 2 years ago
- Official PyTorch Implementation of Long-Short Transformer (NeurIPS 2021).☆225Updated 2 years ago
- Axial Positional Embedding for Pytorch☆76Updated last month
- A 🤗-style implementation of BERT using lambda layers instead of self-attention☆69Updated 4 years ago
- A pytorch &keras implementation and demo of Fastformer.☆187Updated 2 years ago
- Implementation of a Transformer using ReLA (Rectified Linear Attention) from https://arxiv.org/abs/2104.07012☆49Updated 2 years ago
- Code for the Shortformer model, from the ACL 2021 paper by Ofir Press, Noah A. Smith and Mike Lewis.☆146Updated 3 years ago
- Implementation of COCO-LM, Correcting and Contrasting Text Sequences for Language Model Pretraining, in Pytorch☆45Updated 4 years ago
- [EMNLP'19] Summary for Transformer Understanding☆53Updated 5 years ago
- Implementation of Online Label Smoothing in PyTorch☆94Updated 2 years ago
- Implementation of Mixout with PyTorch☆74Updated 2 years ago
- Implementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning☆160Updated last year
- PyTorch Examples repo for "ReZero is All You Need: Fast Convergence at Large Depth"☆62Updated 8 months ago
- Implementation of Memformer, a Memory-augmented Transformer, in Pytorch☆115Updated 4 years ago
- Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms☆259Updated 3 years ago
- Implementation of Feedback Transformer in Pytorch☆105Updated 4 years ago
- Trains Transformer model variants. Data isn't shuffled between batches.☆141Updated 2 years ago
- Fully featured implementation of Routing Transformer☆291Updated 3 years ago
- A python library for highly configurable transformers - easing model architecture search and experimentation.☆49Updated 3 years ago
- Implementation of the retriever distillation procedure as outlined in the paper "Distilling Knowledge from Reader to Retriever"☆32Updated 4 years ago
- Implementation of TableFormer, Robust Transformer Modeling for Table-Text Encoding, in Pytorch☆37Updated 2 years ago
- A simple implementation of a deep linear Pytorch module☆19Updated 4 years ago
- Implementation of the GBST block from the Charformer paper, in Pytorch☆116Updated 3 years ago
- Implementation of Memory-Compressed Attention, from the paper "Generating Wikipedia By Summarizing Long Sequences"☆70Updated last year
- A simple and working implementation of Electra, the fastest way to pretrain language models from scratch, in Pytorch☆224Updated last year