Way to develop graphs and model machine learning

luis cdfd492d41 Trying cache(2) hace 7 años
browser 202bede5f0 Registry, tests, coverage hace 7 años
docker be46042d0d Implemented collaboration and server serialization hace 7 años
go 1a705813be Fixed registry tests hace 7 años
.drone.yml cdfd492d41 Trying cache(2) hace 7 años
.gitignore 9631547566 Fixing submodule issue hace 7 años
Makefile 0e1e145a1a Fixed a test reporting bad results hace 7 años
readme.md e0378dd50b Backdev hace 7 años

readme.md

TODO

Minimal idea

UI to create multipurpose tensorflow alike graphs, upload to the server pass inputs and do training fetch model and use it with new inputs distributed purpose to calculate several nodes across a network

implement common AI methods(funcs) reuse them

Frontend

  • Deal with svg relative mouse position
  • do an event from one socket to another highlighting the ones compatible for data type
  • Create something to add/remove links/nodes as in populating from the server
  • Colaborative editing through possibly websocket, by sharing states
  • const/var editor with multiple props
  • add types to sockets (litle label aside)

Backend

  • create http server that serializes and inspect run graphs (step by step)
  • Serve registry with information about inputs/outputs
  • Protocol to build and run a graph from frontend