lucidrains / linformer
Implementation of Linformer for Pytorch
☆266Updated last year
Alternatives and similar repositories for linformer:
Users that are interested in linformer are comparing it to the libraries listed below
- Transformer based on a variant of attention that is linear complexity in respect to sequence length☆738Updated 9 months ago
- Official PyTorch Implementation of Long-Short Transformer (NeurIPS 2021).☆226Updated 2 years ago
- An implementation of local windowed attention for language modeling☆420Updated last month
- Fully featured implementation of Routing Transformer☆288Updated 3 years ago
- Implementation of a memory efficient multi-head attention as proposed in the paper, "Self-attention Does Not Need O(n²) Memory"☆370Updated last year
- My take on a practical implementation of Linformer for Pytorch.☆411Updated 2 years ago
- [ICLR 2022] Official implementation of cosformer-attention in cosFormer: Rethinking Softmax in Attention☆185Updated 2 years ago
- Implementation of the Transformer variant proposed in "Transformer Quality in Linear Time"☆358Updated last year
- Implementation of Rotary Embeddings, from the Roformer paper, in Pytorch☆635Updated 2 months ago
- Sinkhorn Transformer - Practical implementation of Sparse Sinkhorn Attention☆257Updated 3 years ago
- An implementation of Performer, a linear attention-based transformer, in Pytorch☆1,115Updated 3 years ago
- An implementation of the efficient attention module.☆301Updated 4 years ago
- Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms☆258Updated 3 years ago
- Unofficial PyTorch implementation of Attention Free Transformer (AFT) layers by Apple Inc.☆233Updated 2 years ago
- Implementation of fused cosine similarity attention in the same style as Flash Attention☆210Updated 2 years ago
- Implementation of Fast Transformer in Pytorch☆172Updated 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
- Implementation of Nyström Self-attention, from the paper Nyströmformer☆127Updated last year
- Unofficial implementation of MLP-Mixer: An all-MLP Architecture for Vision☆217Updated 3 years ago
- Implementation of Memformer, a Memory-augmented Transformer, in Pytorch☆111Updated 4 years ago
- ☆163Updated 2 years ago
- Implementation of Axial attention - attending to multi-dimensional data efficiently☆371Updated 3 years ago
- Sequence modeling with Mega.☆298Updated 2 years ago
- A Pytorch implementation of Sparsely-Gated Mixture of Experts, for massively increasing the parameter count of language models☆692Updated last year
- ☆371Updated last year
- Implementation of Mega, the Single-head Attention with Multi-headed EMA architecture that currently holds SOTA on Long Range Arena☆204Updated last year
- A simple cross attention that updates both the source and target in one step☆162Updated 9 months ago
- Pytorch implementation of Compressive Transformers, from Deepmind☆155Updated 3 years ago
- Implementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning☆160Updated last year
- Implementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes.☆490Updated last year