- Go to practical_seq2seq
An implementation of Seq2Seq that actually works. I want to make it easy for people to train their own seq2seq model with any corpus. I am also adding the parameters of my trained model for people to just use it without training. If you have a model that works share your model params here, as external link or do a pull request. I have used Cornell Movie Dialog Corpus to train my model. A link to preprocessed data and scripts for preprocessing can be found in this repo.
I have created another repository - practical_seq2seq to experiment with the seq2seq model. The new model trained on Twitter chat log and Cornell Movie Dialog corpus performs well. I wrote an article - Practical seq2seq, explaining the code.
Happy New Year, 2017
- Create temporary working directory prior to training
- Download test/train data from Cornell Movie Dialog Corpus
cd data/ bash pull_data.sh
# edit seq2seq.ini file to set # mode = train python execute.py # or use custom ini file # python execute.py my_custom_conf.ini
# edit seq2seq.ini file to set # mode = test python execute.py
# configuration : seq2seq_serve.ini python ui/app.py # wait until this message shows up # "Running on http://127.0.0.1:5000/ (Press CTRL+C to quit)" # open up the address in browser, chat with the bot