All-The-Content
bytesnake opened this issue · comments
The rust-ml group is still in its infancy, but these are already available:
- linear decision trees
- non-linear manifolds
- linear regression
- a Torch model, for example CIFA-10 dataset with CNN
We should also have an introduction to, not only the algorithms, but also the tools we are using:
- How to use the
ndarraycrate and understand type signatures ofArrayBase - Give examples for
ndarray-stats - Integration of
gnuplotinto the workflow
This list is far from complete and will grow with time. If you know any algorithm, you want to add, please feel free to contribute.
I just added a small first example for the KMeans algorithm from linfa-clustering using the plotters crate for data visualization.