Way to develop graphs and model machine learning

luis b913828e95 Droning building Sun Jan 21 18:47:08 -02 2018		vor 7 Jahren
browser	354415e49e Edge compliance	vor 7 Jahren
docker	be46042d0d Implemented collaboration and server serialization	vor 7 Jahren
go	324f7c7ef5 Changed makefile	vor 7 Jahren
.drone.yml	b913828e95 Droning building Sun Jan 21 18:47:08 -02 2018	vor 7 Jahren
.gitignore	9631547566 Fixing submodule issue	vor 7 Jahren
Makefile	80fd6e920b Droning building Sat Jan 20 18:55:28 -02 2018	vor 7 Jahren
readme.md	e0378dd50b Backdev	vor 7 Jahren

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

readme.md

TODO

Minimal idea

Frontend

Backend