General machine learning projects

Source Separation

  • Implemented and trained deep attractor network from ‘Deep attractor network for single-microphone speaker separation’ in tensorflow ane pytorch for audio source separation.
  • Tried to correlate sources with listeners EEG signal with Max Jakobs.

Bandgaps

  • Developed ML model to predict bandgaps of materials given their chemical formula.
  • Won hackathon (10 teams of Cambridge PhD students).

What’s the title?

  • Developed and trained bidirectional LSTM model to predict titles of academic papers based on the abstract with Thomas Parton
  • Presented at conference and won competition with entry.

Project information

  • Category: Machine Learning
  • Location: London / Cambridge
  • Project date: Oct 2019 - current