Way to develop graphs and model machine learning

luis d1e4fdf989 Fix chat rejoined receiving repeated messages 7 年 前
browser d1e4fdf989 Fix chat rejoined receiving repeated messages 7 年 前
docker be46042d0d Implemented collaboration and server serialization 7 年 前
go 216405e6ed Panel implementation/ Splitter 7 年 前
.drone.yml 6ea1217c1c drone 7 年 前
.gitignore 9631547566 Fixing submodule issue 7 年 前
Makefile 78850e4b8c Added chat, improved prototype 7 年 前
readme.md e0378dd50b Backdev 7 年 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