Mamba: SSM, Theory, and Implementation in Keras and TensorFlow

Understanding how SSMs and Mamba work, along with how to get started with implementing it in Keras and TensorFlow.

Submitted on 1st December, 2023 on arXiv, the paper titled “Mamba: Linear-Time Sequence Modeling with Selective State Spaces” proposed an interesting approach to sequence modeling. The authors — Albert Gu, Tri Dao — introduced, ‘Mamba’ that utilized ‘selective’ state space models (SSM) to achieve results that compete with the performance of the, now ubiquitous, Transformer model. …

deeplearing large language models machine learning mamba tensorflow