rafiqhasan/auto-tensorflow
Build Low Code Automated Tensorflow explainable models in just 3 lines of code. Library created by: Hasan Rafiq - https://www.linkedin.com/in/sam04/
This tool helps data scientists and machine learning engineers quickly build and evaluate deep learning models. You provide raw CSV data for training and testing, and it automatically processes the data, builds a model, and offers a user interface for 'What-If' analysis to explain model predictions. It's designed for professionals who need to develop and deploy models efficiently without deep expertise in TensorFlow specifics.
180 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to rapidly create classification or regression models from large CSV datasets and require built-in tools for understanding why your model makes certain predictions.
Not ideal if your data is primarily images, audio, or time-series, as these data types are not currently supported.
Stars
180
Forks
37
Language
Python
License
Apache-2.0
Category
Last pushed
Dec 09, 2022
Commits (30d)
0
Dependencies
26
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