This is my attempt at understanding how AI and ML works by building it from the ground up.
In its current state, this is simply a side project. It is not optimized or maintained for production. Use Flux.jl or MLJ.jl if you actually need AI/ML in Julia.
My main goal for this project is to have all the foundations of AI covered. However, if I feel like it, I may also try to develop functionality for Physics Informed Machine Learning.
I did also use AI to write code throughout the project. Interestingly the little imperfections and screw-ups it does make for a great learning experience. Debugging the errors is a great way to get a handle on how Julia works as a language and all its little quirks.
Go to the Julia Install documentation and follow their instructions. Verify your installation by running julia -v
Follow the Git documentation. Verify your installation with git -v
git clone https://github.com/s9kt/julia-ml
cd julia-ml
julia --project=. -e 'using Pkg; Pkg.instantiate()'
julia examples/linear_regression.jl