sustcsonglin / gated_linear_attention_layerLinks
☆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:
- Here we will test various linear attention designs.☆62Updated last year
- Blog post☆17Updated last year
- Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"☆27Updated last year
- ☆20Updated last year
- ☆56Updated last year
- Reference implementation of "Softmax Attention with Constant Cost per Token" (Heinsen, 2024)☆24Updated last year
- Engineering the state of RNN language models (Mamba, RWKV, etc.)☆32Updated last year
- Triton Implementation of HyperAttention Algorithm☆48Updated last year
- ☆49Updated last year
- Efficient PScan implementation in PyTorch☆16Updated last year
- RWKV model implementation☆38Updated 2 years ago
- Parallel Associative Scan for Language Models☆18Updated last year
- Official Code Repository for the paper "Key-value memory in the brain"☆28Updated 6 months ago
- ☆23Updated 11 months ago
- Fine-Tuning Pre-trained Transformers into Decaying Fast Weights☆19Updated 2 years ago
- [NeurIPS 2023] Sparse Modular Activation for Efficient Sequence Modeling☆40Updated last year
- Using FlexAttention to compute attention with different masking patterns☆44Updated 11 months ago
- Official Repository for Efficient Linear-Time Attention Transformers.☆18Updated last year
- [NeurIPS 2023 spotlight] Official implementation of HGRN in our NeurIPS 2023 paper - Hierarchically Gated Recurrent Neural Network for Se…☆66Updated last year
- Curse-of-memory phenomenon of RNNs in sequence modelling☆19Updated 3 months ago
- ☆56Updated 10 months ago
- sigma-MoE layer☆20Updated last year
- HGRN2: Gated Linear RNNs with State Expansion☆55Updated last year
- ☆34Updated last year
- Official code for the paper "Attention as a Hypernetwork"☆40Updated last year
- Implementation of GateLoop Transformer in Pytorch and Jax☆90Updated last year
- ☆33Updated last year
- ☆29Updated 2 years ago
- LayerNorm(SmallInit(Embedding)) in a Transformer to improve convergence☆59Updated 3 years ago
- Experiments on the impact of depth in transformers and SSMs.☆33Updated 9 months ago