Giters
alex-berard
/
seq2seq
Attention-based sequence to sequence learning
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388
Watchers:
27
Issues:
30
Forks:
122
alex-berard/seq2seq Issues
Training a new model: Ascii codec can't decode byte 0xc3
Updated
5 years ago
Additional input features
Closed
5 years ago
AST run error
Updated
5 years ago
代码编译出错
Updated
5 years ago
代码编译出错
Closed
5 years ago
Multi Task Recipe for Libirspeech
Closed
5 years ago
MFCC EXTRACT
Updated
5 years ago
Comments count
2
Version mismatch error
Closed
5 years ago
Comments count
3
Feature extraction
Closed
5 years ago
Comments count
1
Deep layer size
Closed
5 years ago
Comments count
1
Multi-task training
Closed
5 years ago
Comments count
2
The two download links are unavailable
Closed
5 years ago
Comments count
3
Does this code work under CPU mode ?
Closed
6 years ago
Broken Link to pre-processed LibriSpeech corpus (with MFCCs)
Closed
6 years ago
What does this function mean?
Updated
6 years ago
get error when using pretrained model
Closed
6 years ago
Some shell does not work.
Closed
6 years ago
Comments count
2
How can I use the --align option?
Closed
6 years ago
Comments count
6
can't find the APE17 data file
Updated
6 years ago
Comments count
2
Where is the source code for automatic post-editing?
Closed
6 years ago
Comments count
1
Could you please make the trained model available?
Closed
6 years ago
Comments count
2
Using Alpha code0.1 for English audio to Russian Text translation
Closed
6 years ago
Comments count
1
How to train with my own wav files and text files in another language
Closed
7 years ago
About the Dependencies in the README.md
Closed
7 years ago
Comments count
10
Thank you
Closed
7 years ago
reinforcement learning detail?
Closed
7 years ago
Comments count
2
Problem with decoding on test set with the latest seq2seq (tensorflow 1.2 version)
Closed
7 years ago
Comments count
2
Feature Request: Pre Trained Models/Examples
Closed
7 years ago
model checkpoints defaulting to /model/
Closed
7 years ago
Comments count
1
please you can upgrade to TF 1.0?
Closed
7 years ago
Comments count
2