keitakurita Better_LSTM_PyTorch issues - Githubissues

keitakurita / Better_LSTM_PyTorch

An LSTM in PyTorch with best practices (weight dropout, forget bias, etc.) built-in. Fully compatible with PyTorch LSTM.

MIT License

133 stars 20 forks source link

issues

Newest

Newest Most commented Recently updated Oldest Least commented Least recently updated

A question about _drop_weights()

#7 Achronferry opened 4 years ago
2
a little problem when batch_first=False.

#6 hunterbobo opened 4 years ago
0
Correct batch size, flatten_parameters and update to newest PyTorch

#5 davda54 opened 4 years ago
0
RNN module weights are not part of single contiguous chunk of memory(GPU)

#4 realiti4 closed 4 years ago
2
Very helpful.

#3 iridiumblue opened 5 years ago
2
Variational Dropout Implementation

#2 anlijuncn closed 5 years ago
1
python2 compatibility

#1 SaeedNajafi closed 5 years ago
1