This is the repository that host the notebook for the Seq2Seq with PyTorch session in Data Science SG meetup in January 2018. The accompanying slides to this notebook repo can be found on https://goo.gl/Lu6CxB
Ordering coffee in Singapore hawker centre and food court could result in some surprises:
Code:
Pre-trained Models:
- Vanilla RNN Encoder-Decoder model
encoder_vanilla_100_100000.pkl
decoder_vanilla_100_100000.pkl
- Vanilla RNN Encoder-Decoder model with teacher forcing
encoder_vanilla_100_100000_0.5.pkl
decoder_vanilla_100_100000_0.5.pkl
- Attention RNN Encoder-Decoder model with teacher forcing
encoder_attention_100_100000_0.5.pkl
decoder_attention_100_100000_0.5.pkl
Python 3.6 (preferrably), otherwise Python3 should work too...
gensim==3.2.0
nltk==3.2.5
pandas==0.22.0
torch==0.3.0.post4
torchvision==0.2.0
The dataset used in this exercise is hosted on https://www.kaggle.com/alvations/sg-kopi
The materials of this notebook and the accompanying slides are largely based on the