kyegomez/Simba
A simpler Pytorch + Zeta Implementation of the paper: "SiMBA: Simplified Mamba-based Architecture for Vision and Multivariate Time series"
This is a machine learning tool for developers working with computer vision or time series data. It helps you build and train models that can classify images or predict patterns in complex time series datasets. You input image files or numerical time series data, and it outputs a trained model capable of making classifications or predictions. This is for machine learning engineers and data scientists building custom AI applications.
No commits in the last 6 months.
Use this if you are a machine learning engineer or data scientist looking to implement a Mamba-based architecture for image classification or multivariate time series prediction within a PyTorch environment.
Not ideal if you are a practitioner without a background in deep learning, as this requires coding and expertise in model training.
Stars
28
Forks
2
Language
Python
License
MIT
Category
Last pushed
Nov 11, 2024
Commits (30d)
0
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