ML improved experience.
Bringing the necessary maths to life as a programming language, so you can iterate fast during the making of your ML models. Similar to a Jupyter notebook, share both the theory and code, without uncoupling the two !
You need to install python3.8+ and node 16+. Then, wether you are using poetry or not, make to install compiler and frontend dependencies.
At the root of the project:
chmod +x mlim.sh
Then :
./mlim.sh --run or simply -r
./mlim.sh --help gives you the list of options of the mlim.sh script.
For example, run all the tests with:
./mlim.sh --tests