The friendly scientific machine learning library
Project description
☕️ 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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