A pure NumPy implementation of Mamba

mamba.np is a NumPy-based implementation of Mamba, designed for academic research purposes. The program allows users to analyze text data efficiently, with a token count of 18 taking only 18.57 seconds to process. Users are encouraged to cite the project when using mamba.np in their work. Developed by Ido Hakimi, mamba.np is available under the MIT License. Special thanks are given to the creators and contributors of the libraries and tools that made mamba.np possible. Overall, mamba.np offers a unique and powerful tool for text analysis within the academic community.

https://github.com/idoh/mamba.np

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