ilex-paraguariensis/yerbamate
A framework-agnostic deep learning package and experiment manager
This tool helps machine learning researchers and engineers organize their deep learning projects. It streamlines the development, training, and tracking of AI models by providing a structured way to manage code for models, data loaders, and training logic. You input your separate machine learning code components, and it helps you combine and manage them for reproducible experiments.
No commits in the last 6 months.
Use this if you are a machine learning researcher or engineer looking to improve the organization, reproducibility, and shareability of your deep learning projects.
Not ideal if you are looking for an AutoML solution or a drag-and-drop interface for machine learning without writing Python code.
Stars
9
Forks
1
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jun 30, 2023
Commits (30d)
0
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