wuch15 / Fastformer
A pytorch &keras implementation and demo of Fastformer.
☆184Updated last year
Related projects: ⓘ
- Transformer with Untied Positional Encoding (TUPE). Code of paper "Rethinking Positional Encoding in Language Pre-training". Improve exis…☆249Updated 2 years ago
- Implementation of the Transformer variant proposed in "Transformer Quality in Linear Time"☆345Updated 11 months ago
- ☆83Updated 4 years ago
- [ACL 2022] Structured Pruning Learns Compact and Accurate Models https://arxiv.org/abs/2204.00408☆188Updated last year
- [ICLR 2022] Official implementation of cosformer-attention in cosFormer: Rethinking Softmax in Attention☆178Updated last year
- Implementation of Fast Transformer in Pytorch☆171Updated 3 years ago
- Unofficial PyTorch implementation of Fastformer based on paper "Fastformer: Additive Attention Can Be All You Need"."☆134Updated 3 years ago
- Code for the NAACL 2022 long paper "DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings"☆290Updated last year
- Implement the paper "Self-Attention with Relative Position Representations"☆122Updated 3 years ago
- ☆245Updated last year
- Official PyTorch Implementation of Long-Short Transformer (NeurIPS 2021).☆221Updated 2 years ago
- A *tuned* minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training☆106Updated 3 years ago
- [ICML 2021 Oral] We show pure attention suffers rank collapse, and how different mechanisms combat it.☆156Updated 3 years ago
- Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms☆249Updated 3 years ago
- Unofficial PyTorch implementation of Attention Free Transformer (AFT) layers by Apple Inc.☆226Updated 2 years ago
- 基于Gated Attention Unit的Transformer模型 （尝鲜版）☆95Updated last year
- ⛵️The official PyTorch implementation for "BERT-of-Theseus: Compressing BERT by Progressive Module Replacing" (EMNLP 2020).☆310Updated last year
- ☆866Updated 3 months ago
- This PyTorch package implements MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation (NAACL 2022).☆96Updated 2 years ago
- A simple and working implementation of Electra, the fastest way to pretrain language models from scratch, in Pytorch☆222Updated last year
- pytorch； mask language model ； bert☆69Updated 4 years ago
- Implementation of Memory-Compressed Attention, from the paper "Generating Wikipedia By Summarizing Long Sequences"☆72Updated last year
- Worth-reading papers and related resources on attention mechanism, Transformer and pretrained language model (PLM) such as BERT. 值得一读的注意力…☆131Updated 3 years ago
- For the code release of our arXiv paper "Revisiting Few-sample BERT Fine-tuning" (https://arxiv.org/abs/2006.05987).☆184Updated last year
- Pytorch implementation of R-Transformer. Some parts of the code are adapted from the implementation of TCN and Transformer.☆224Updated 5 years ago
- Multi-head attention in PyTorch☆146Updated 5 years ago
- Sequence modeling with Mega.☆296Updated last year
- Code for the paper "Are Sixteen Heads Really Better than One?"☆165Updated 4 years ago
- Implementation of RealFormer using pytorch☆102Updated 3 years ago
- FLASHQuad_pytorch☆66Updated 2 years ago