Train Wavenet-based group-level models on MEG data, and uncover neuroscientifically interpretable information. Explore the differences between sliding window and full-epoch models in my other repo.
An open-source pipeline for building dialogue datasets in many languages using books from Project Gutenberg.
A wrapper around tensor2tensor to felxibly train, interact, and generate data for neural chatbots. Please also check the wiki page for my notes on over 150 papers.
Easily simulate the change of dipole moments of complex protein structures and provide a 3D UI in OpenGL. There are also several searching algorithms implemented to find protein structures that satisfy user defined logic functions. Download here.
Brainstream: machine learning driven BCI that translates thoughts into text