sacmehta / delight
DeLighT: Very Deep and Light-Weight Transformers
☆467Updated 4 years ago
Alternatives and similar repositories for delight:
Users that are interested in delight are comparing it to the libraries listed below
- [ICLR 2020] Lite Transformer with Long-Short Range Attention☆606Updated 7 months ago
- Fully featured implementation of Routing Transformer☆288Updated 3 years ago
- My take on a practical implementation of Linformer for Pytorch.☆412Updated 2 years ago
- Sinkhorn Transformer - Practical implementation of Sparse Sinkhorn Attention☆257Updated 3 years ago
- Official PyTorch Implementation of Long-Short Transformer (NeurIPS 2021).☆225Updated 2 years ago
- Understanding the Difficulty of Training Transformers☆328Updated 2 years ago
- Transformer based on a variant of attention that is linear complexity in respect to sequence length☆738Updated 9 months ago
- Implementation of gMLP, an all-MLP replacement for Transformers, in Pytorch☆426Updated 3 years ago
- An implementation of Performer, a linear attention-based transformer, in Pytorch☆1,114Updated 3 years ago
- Official PyTorch Repo for "ReZero is All You Need: Fast Convergence at Large Depth"☆408Updated 6 months ago
- Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms☆258Updated 3 years ago
- Transformer training code for sequential tasks☆610Updated 3 years ago
- Implementation of https://arxiv.org/abs/1904.00962☆371Updated 4 years ago
- Pytorch library for fast transformer implementations☆1,679Updated last year
- ☆213Updated 4 years ago
- Accelerate training by storing parameters in one contiguous chunk of memory.☆292Updated 4 years ago
- Is the attention layer even necessary? (https://arxiv.org/abs/2105.02723)☆483Updated 3 years ago
- list of efficient attention modules☆995Updated 3 years ago
- Implementation of Linformer for Pytorch☆266Updated last year
- Transformer with Untied Positional Encoding (TUPE). Code of paper "Rethinking Positional Encoding in Language Pre-training". Improve exis…☆250Updated 3 years ago
- Implementation of the Transformer variant proposed in "Transformer Quality in Linear Time"☆358Updated last year
- Source code for "On the Relationship between Self-Attention and Convolutional Layers"☆1,096Updated 2 years ago
- Reformer, the efficient Transformer, in Pytorch☆2,152Updated last year
- ⛵️The official PyTorch implementation for "BERT-of-Theseus: Compressing BERT by Progressive Module Replacing" (EMNLP 2020).☆310Updated last year
- ☆372Updated last year
- [ICML 2021 Oral] We show pure attention suffers rank collapse, and how different mechanisms combat it.☆164Updated 3 years ago
- ☆251Updated 2 years ago
- Code for Multi-Head Attention: Collaborate Instead of Concatenate☆152Updated last year
- [ICLR 2022] Official implementation of cosformer-attention in cosFormer: Rethinking Softmax in Attention☆185Updated 2 years ago
- FastFormers - highly efficient transformer models for NLU☆704Updated last year