Minimal implementation of Mamba, the new LLM architecture, in 1 file of PyTorch

Dec 20, 2023 ·

Mamba Minimal is a Python-based library for building data science projects and machine learning models. It provides an intuitive and unified API that allows developers to easily create high quality, production ready applications and models with minimal effort. Mamba Minimal provides a wide range of features that make it easy to develop sophisticated ML models and data science workflows. These include a comprehensive selection of libraries such as NumPy, SciPy, Pandas, TensorFlow, Keras, and PyTorch, a powerful set of tools for feature engineering, and various utilities like logging and data visualization. In addition, it also includes a wide range of supporting components, such as the Code First modeling framework, the Model Builder construction tool, and the Hyperparameter Tuning module. With Mamba Minimal, developers can quickly build powerful models by combining different components, while taking advantage of all the benefits of the Python language. This makes it ideal for those looking to combine complex features and algorithms into their projects.