https://github.com/owulveryck/lstm

LSTM based on go and gorgonia
https://github.com/owulveryck/lstm

charrnn golang gorgonia lstm

Last synced: 6 months ago
JSON representation

LSTM based on go and gorgonia

• Host: GitHub
• URL: https://github.com/owulveryck/lstm
• Owner: owulveryck
• License: apache-2.0
• Created: 2017-11-21T21:41:52.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2019-12-08T19:51:39.000Z (almost 6 years ago)
• Last Synced: 2025-03-27T22:05:06.279Z (7 months ago)
• Topics: charrnn, golang, gorgonia, lstm
• Language: Go
• Size: 9.41 MB
• Stars: 60
• Watchers: 6
• Forks: 13
• Open Issues: 3
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
[![](https://godoc.org/github.com/owulveryck/lstm?status.svg)](http://godoc.org/github.com/owulveryck/lstm)

[![Report card](https://goreportcard.com/badge/github.com/owulveryck/lstm)](https://goreportcard.com/report/github.com/owulveryck/lstm)

This is an LSTM implementation is pure go made with gorgonia.

The documentation is in progress.

By now, you can `go get github.com/owulveryck/lstm` and then run the example:

`cd example/train ; go run ../../data/tontons/input.txt`

It will train the LSTM and predict every now and then.

TODO: the Gorgonia API has changed, I may need to asjust the solver when the 0.9 will be released