AutoViML/deep_autoviml
Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome. Permission granted upon request.
This project helps data scientists, machine learning engineers, and data engineers quickly build, experiment with, and deploy deep learning models. You provide your raw structured data, text, or images, and it automatically creates a Keras deep learning model pipeline, ready for training and deployment. This is ideal for quickly developing proofs-of-concept or production-ready models.
121 stars. No commits in the last 6 months. Available on PyPI.
Use this if you are a data scientist or ML engineer who needs to rapidly prototype or build TensorFlow Keras deep learning models for various data types, minimizing manual setup and configuration.
Not ideal if you require complete manual control over every layer and architectural detail of your Keras model without any automation or predefined pipelines.
Stars
121
Forks
38
Language
Python
License
Apache-2.0
Category
Last pushed
May 09, 2024
Commits (30d)
0
Dependencies
15
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