Way to develop graphs and model machine learning

luis 0e1e145a1a Fixed a test reporting bad results 7 年之前
browser 202bede5f0 Registry, tests, coverage 7 年之前
docker be46042d0d Implemented collaboration and server serialization 7 年之前
go 0e1e145a1a Fixed a test reporting bad results 7 年之前
.drone.yml 05a12eb5f7 Tests and drone 7 年之前
.gitignore 9631547566 Fixing submodule issue 7 年之前
Makefile 0e1e145a1a Fixed a test reporting bad results 7 年之前
readme.md e0378dd50b Backdev 7 年之前

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