Benjamin-Walker / selective-ssms-and-linear-cdesLinks
Code for "Theoretical Foundations of Deep Selective State-Space Models" (NeurIPS 2024)
☆15Updated 11 months ago
Alternatives and similar repositories for selective-ssms-and-linear-cdes
Users that are interested in selective-ssms-and-linear-cdes are comparing it to the libraries listed below
Sorting:
- HGRN2: Gated Linear RNNs with State Expansion☆56Updated last year
- ☆29Updated last year
- ☆33Updated last year
- Efficient PScan implementation in PyTorch☆17Updated last year
- Official Code Repository for the paper "Key-value memory in the brain"☆31Updated 10 months ago
- ☆24Updated last year
- Implementations of various linear RNN layers using pytorch and triton☆54Updated 2 years ago
- Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX☆92Updated last year
- [NeurIPS 2023 spotlight] Official implementation of HGRN in our NeurIPS 2023 paper - Hierarchically Gated Recurrent Neural Network for Se…☆66Updated last year
- ☆35Updated last year
- Parallelizing non-linear sequential models over the sequence length☆56Updated 6 months ago
- ☆33Updated last year
- ☆51Updated last year
- Experiments on the impact of depth in transformers and SSMs.☆40Updated 2 months ago
- Expanding linear RNN state-transition matrix eigenvalues to include negatives improves state-tracking tasks and language modeling without…☆18Updated 9 months ago
- Curse-of-memory phenomenon of RNNs in sequence modelling☆19Updated 7 months ago
- A State-Space Model with Rational Transfer Function Representation.☆83Updated last year
- ☆32Updated last year
- Unofficial Implementation of Selective Attention Transformer☆20Updated last year
- An annotated implementation of the Hyena Hierarchy paper☆34Updated 2 years ago
- ☆35Updated last year
- Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)☆127Updated 2 years ago
- ☆38Updated last year
- Unofficial implementation of paper : Exploring the Space of Key-Value-Query Models with Intention☆12Updated 2 years ago
- Deep Networks Grok All the Time and Here is Why☆38Updated last year
- ☆62Updated last year
- Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"☆27Updated last year
- Parallel Associative Scan for Language Models☆18Updated last year
- Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces, NeurIPS 2021☆13Updated 4 years ago
- ☆20Updated 2 years ago