gmongaras / Cottention_TransformerLinks
Code for the paper "Cottention: Linear Transformers With Cosine Attention"
☆20Updated 2 months ago
Alternatives and similar repositories for Cottention_Transformer
Users that are interested in Cottention_Transformer are comparing it to the libraries listed below
Sorting:
- HGRN2: Gated Linear RNNs with State Expansion☆56Updated last year
- Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"☆27Updated last year
- Official code for the paper "Attention as a Hypernetwork"☆47Updated last year
- Here we will test various linear attention designs.☆62Updated last year
- RWKV-X is a Linear Complexity Hybrid Language Model based on the RWKV architecture, integrating Sparse Attention to improve the model's l…☆54Updated 3 weeks ago
- Awesome Triton Resources☆39Updated 9 months ago
- MambaFormer in-context learning experiments and implementation for https://arxiv.org/abs/2402.04248☆58Updated last year
- [NeurIPS 2023 spotlight] Official implementation of HGRN in our NeurIPS 2023 paper - Hierarchically Gated Recurrent Neural Network for Se…☆66Updated last year
- This is a simple torch implementation of the high performance Multi-Query Attention☆16Updated 2 years ago
- Fork of Flame repo for training of some new stuff in development☆19Updated last month
- Efficient PScan implementation in PyTorch☆17Updated 2 years ago
- ☆91Updated last year
- Official Code Repository for the paper "Key-value memory in the brain"☆31Updated 11 months ago
- ☆58Updated last year
- Xmixers: A collection of SOTA efficient token/channel mixers☆28Updated 5 months ago
- Triton implement of bi-directional (non-causal) linear attention☆65Updated last week
- RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best…☆59Updated 10 months ago
- [ICML 2024] When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models☆35Updated last year
- ☆51Updated 2 years ago
- User-friendly implementation of the Mixture-of-Sparse-Attention (MoSA). MoSA selects distinct tokens for each head with expert choice rou…☆28Updated 9 months ago
- A repository for research on medium sized language models.☆77Updated last year
- ☆24Updated last year
- GoldFinch and other hybrid transformer components☆45Updated last year
- Code for "Theoretical Foundations of Deep Selective State-Space Models" (NeurIPS 2024)☆15Updated last year
- Official implementation of the ICML 2024 paper RoSA (Robust Adaptation)☆44Updated last year
- ☆26Updated 2 years ago
- ☆20Updated 3 years ago
- Implementation of Infini-Transformer in Pytorch☆112Updated last year
- Explorations into the recently proposed Taylor Series Linear Attention☆100Updated last year
- [NeurIPS 2023] Sparse Modular Activation for Efficient Sequence Modeling☆40Updated 2 years ago