gmongaras / Cottention_TransformerLinks
Code for the paper "Cottention: Linear Transformers With Cosine Attention"
☆17Updated 8 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☆55Updated 10 months ago
- Official code for the paper "Attention as a Hypernetwork"☆40Updated last year
- [NeurIPS 2023 spotlight] Official implementation of HGRN in our NeurIPS 2023 paper - Hierarchically Gated Recurrent Neural Network for Se…☆66Updated last year
- Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"☆27Updated 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…☆42Updated this week
- User-friendly implementation of the Mixture-of-Sparse-Attention (MoSA). MoSA selects distinct tokens for each head with expert choice rou…☆22Updated 2 months ago
- ☆82Updated 10 months ago
- The open-source materials for paper "Sparsing Law: Towards Large Language Models with Greater Activation Sparsity".☆23Updated 8 months ago
- Here we will test various linear attention designs.☆60Updated last year
- Awesome Triton Resources☆31Updated 2 months ago
- [ICLR 2025] Official PyTorch implementation of "Forgetting Transformer: Softmax Attention with a Forget Gate"☆115Updated last week
- Official Code Repository for the paper "Key-value memory in the brain"☆27Updated 4 months ago
- ☆27Updated last year
- ☆32Updated last year
- [ICML 2024] When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models☆31Updated last year
- ☆40Updated last month
- From GaLore to WeLore: How Low-Rank Weights Non-uniformly Emerge from Low-Rank Gradients. Ajay Jaiswal, Lu Yin, Zhenyu Zhang, Shiwei Liu,…☆47Updated 2 months ago
- [NeurIPS 2024] Low rank memory efficient optimizer without SVD☆30Updated 2 weeks ago
- Implementation of Infini-Transformer in Pytorch☆111Updated 6 months ago
- Flash-Linear-Attention models beyond language☆16Updated last week
- ☆48Updated last year
- RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best…☆49Updated 4 months ago
- DeciMamba: Exploring the Length Extrapolation Potential of Mamba (ICLR 2025)☆28Updated 3 months ago
- ☆19Updated 2 years ago
- The this is the official implementation of "DAPE: Data-Adaptive Positional Encoding for Length Extrapolation"☆38Updated 9 months ago
- DPO, but faster 🚀☆43Updated 7 months ago
- This is a simple torch implementation of the high performance Multi-Query Attention☆17Updated last year
- MambaFormer in-context learning experiments and implementation for https://arxiv.org/abs/2402.04248☆55Updated last year
- Official implementation of ECCV24 paper: POA☆24Updated 11 months ago
- Using FlexAttention to compute attention with different masking patterns☆44Updated 9 months ago