Plato-solutions/artifician
Artifician is an event-driven framework designed to simplify and accelerate the process of preparing datasets for Artificial Intelligence models.
This tool helps data scientists and machine learning engineers prepare raw data for AI models more efficiently. It takes in unprocessed datasets, like a list of URLs, and transforms them into structured formats suitable for machine learning, such as extracted domain names and their components. This is ideal for professionals building and training AI models who need to streamline their data preparation workflows.
No commits in the last 6 months. Available on PyPI.
Use this if you are a data scientist or ML engineer looking to speed up the process of transforming raw input data into features ready for AI model training.
Not ideal if you are primarily interested in pre-built, end-to-end AI models or do not regularly engage in custom dataset preparation for machine learning.
Stars
10
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Language
Python
License
Apache-2.0
Category
Last pushed
Jan 30, 2024
Commits (30d)
0
Dependencies
5
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