A collection of tutorials and code snippets

Theano-based NMT

• getting started with BNAS and HNMT (as iPython notebook)
• dl4mt software and tutorial (Kyunghyun Cho)

Other frameworks

• NMT tips (lamtram + CNN, Graham Neubig)
• Neural Machine Translation and Sequence-to-sequence Models: A Tutorial by Graham Neubig
• NMT with TensorFlow and the new tensor2tensor model

General introductions

• a small tutorial to get started with keras (as iPython notebook)
• a tutorial on DyNet: part1 and part2
• A Primer on Neural Network Models for Natural Language Processing by Yoav Goldberg
• Theano Deep Learning Tutorials
  • Recurrent Neural Networks tutorial
  • LSTM tutorial (for Sentiment Analyses)
• TensorFlow tutorials
  • Vector representations
  • RNN tutorial
  • seq2seq tutorial
• Get started with Deep Learning - links to software, hardware and tutorials/courses

Other links

• Best practices for deep learning in NLP by Sebastian Ruder