AutoNeuro is an automated machine learning application built using python 3.7. It allows users to build production ready ML models with ease and efficiency.See the About us page for more information.
website: https://autoneuro.ml/
AutoNeuro requires:
- Python 3.7
- Numpy
- Pandas
If you already have a working installation of numpy and Pandas, the easiest way to install autoNeuro is using Pip
pip install pneuro
or conda
conda install -c conda-forge AutoNeuro
The documentation includes more detailed installation instructions
See the change log for a history of notable changes to AutoNeuro.
We welcome new contributors of all experience levels. The Development Guide has detaled information about contributing code, documentation, tests, and more. We have included some basic information in README.
- Official source code repo: https://github.com/viratsagar/Autoneuro
- Download releases:
- Issue Tracker:
You can check the latest sources with the command:
git clone https://github.com/nabeelfahmi12/AutoNeuro-Documentaion.git
To learn more about making a contribution to scikit-learn, please see our Contributing guide
After installation, you can launch the test suite from outside the source directory (you will need to have pytest >= 5.0.1 installed):
pytest AutoNeuro
Before opening a Pull Request, have a look at the full Contributing page to make sure your code complies with our guidelines: https://autoneuro.ml/Contributingtoautoneuro/Contributingtoautoneuro/
https://autoneuro.ml/Contributingtoautoneuro/Contributingtoautoneuro/
- HTML documentation (stable release):
- HTML documentation (development version):
- FAQ:
- Mailing list:
- Twitter: https://twitter.com/Sudhans74624324
- Stack Overflow:
- Website: https://ineuron.ai
If you use autoneuro in a scientific publication, we would appreciate citations: