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☕️ About

sci-ml is an attempt to provide a high-level and human friendly API for Scientific Machine Learning algorithms such as PINN, LSTM-RNN, RC... but with applications in mind.
In the spirit of scikit-learn, the user will find an extensive documentation of the implemented algorithms as well as some practicals use-cases in science and engineering.

Although some implementations and packages already exist, the Python Scientific Machine Learning Community is sparse... Thus, the long-term goal of the project is to provide a constitutive implementation of such algorithms under the same banner.

🎯 Goals

At first the motivations of this project are purely educatives and practicals... So as a researcher using machine/deep learning on a daily basis, i would like to deep dive into it and implement some algorithms in such way that they will be easily reusable and useful for others.

🚀 Features

  • Simple and efficient tools for solving science and engineering problems using Machine Learning
  • Practical and expressive API
  • Stand on the shoulders of giants -> on top of Pandas, Keras, scikit-learn and seaborn.

⚠️ Warnings

For the moment:

  • The development of the project takes place in a private GitHub repository
  • The project is at a very early stage -> Nothing is implemented in this published version
  • The documentation is missing

The GitHub repository as well as a usable Python package will be available in the upcoming months when the project will be more advanced.

🤝 Community-driven

sci-ml is foremost a community-driven project ! The project will be highly collaborative and everyone is welcome to the project ! 🤗

Don't hesitate to contact me if you want to know more or are interested in ! 😃

Stay tuned ! 🗓️

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Release files for sci-mls 0.0.0

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