sustcsonglin / gated_linear_attention_layer
☆32Updated last year
Alternatives and similar repositories for gated_linear_attention_layer
Users that are interested in gated_linear_attention_layer are comparing it to the libraries listed below
Sorting:
- ☆47Updated last year
- ☆20Updated 11 months ago
- Blog post☆17Updated last year
- Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"☆27Updated last year
- ☆54Updated 10 months ago
- [NeurIPS 2023] Sparse Modular Activation for Efficient Sequence Modeling☆36Updated last year
- Here we will test various linear attention designs.☆60Updated last year
- Reference implementation of "Softmax Attention with Constant Cost per Token" (Heinsen, 2024)☆24Updated 11 months ago
- ☆23Updated 7 months ago
- [NeurIPS 2023 spotlight] Official implementation of HGRN in our NeurIPS 2023 paper - Hierarchically Gated Recurrent Neural Network for Se…☆64Updated last year
- Fine-Tuning Pre-trained Transformers into Decaying Fast Weights☆19Updated 2 years ago
- Stick-breaking attention☆53Updated 2 months ago
- Unofficial implementation of paper : Exploring the Space of Key-Value-Query Models with Intention☆11Updated last year
- Official Code Repository for the paper "Key-value memory in the brain"☆25Updated 2 months ago
- ☆31Updated last year
- Engineering the state of RNN language models (Mamba, RWKV, etc.)☆32Updated 11 months ago
- RWKV model implementation☆37Updated last year
- HGRN2: Gated Linear RNNs with State Expansion☆54Updated 8 months ago
- Official code for the paper "Attention as a Hypernetwork"☆33Updated 10 months ago
- Using FlexAttention to compute attention with different masking patterns☆43Updated 7 months ago
- ☆52Updated 11 months ago
- Yet another random morning idea to be quickly tried and architecture shared if it works; to allow the transformer to pause for any amount…☆53Updated last year
- sigma-MoE layer☆18Updated last year
- Awesome Triton Resources☆27Updated 2 weeks ago
- Official repository for the paper "Approximating Two-Layer Feedforward Networks for Efficient Transformers"☆37Updated last year
- Code for the paper: https://arxiv.org/pdf/2309.06979.pdf☆19Updated 9 months ago
- Curse-of-memory phenomenon of RNNs in sequence modelling☆19Updated last week
- Efficient PScan implementation in PyTorch☆16Updated last year
- ☆45Updated last year
- Triton Implementation of HyperAttention Algorithm☆48Updated last year