GitHub - artheus/lstm: LSTM based on go and gorgonia

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

Name		Name	Last commit message	Last commit date
Latest commit History 123 Commits
data		data
datasetter		datasetter
example/train		example/train
generator		generator
.gitignore		.gitignore
LICENCE		LICENCE
README.md		README.md
data_test.go		data_test.go
go.mod		go.mod
go.sum		go.sum
lstm.go		lstm.go
lstm_test.go		lstm_test.go
model.go		model.go
new.go		new.go
new_test.go		new_test.go
predict.go		predict.go
run.go		run.go
train.go		train.go
train_test.go		train_test.go
utils.go		utils.go

artheus/lstm