This issue was moved to a discussion.
You can continue the conversation there. Go to discussion →
The V Machine Learning Roadmap and Ecosystem #12535
Projects
You can continue the conversation there. Go to discussion →
This issue defines a first iteration of the Machine Learning Roadmap. All the specific tasks will be linked to each corresponding repository and also contained on the ML Project here.
We can think a ML Ecosystem as a composition of five different categories: Array Protocols, Foundation, Technique Specific, Domain-Specific and Application Specific.
Array Protocols
For this category we seek to have an alternative implementation to arrays in V. In V it is not possible to create a structure that uses the same operators as an array, so it is not possible to implement a structure that has the same protocol as an array.
However, we started working on VTL, a library similar to
numpy
,arraymance
, among others that offers aNdarray
(in this case called Tensor).Foundation
On this category I identify two aspects: Algorithms and Plotting tools.
On this area we did a cool progress and we already have some libraries for this:
Plotly's graph_objects to plot data. Will provide more backends in the future and also a pure V implementation at some point.
Thirdparty
Technique Specific
Thirdparty
Domain Specific
TODO
Application Specific
TODO
The text was updated successfully, but these errors were encountered: