Hello there! Welcome to a little landing page with some links to stuff I’m tinkering with.
Used to play guitar when I was young. Became interested in using machine learning for music understanding in computer science school around 2011 from the artificial neural networks side.
Picked up Theano when Lasagne/Keras was coming up and was a regular contributor to Keras and TensorFlow before 1.0. Sad about 2.0 as an aspiring functional programmer, but now moving to PyTorch like everyone else.
I’ve touched a lot of deep learning models, particularly around audio (most recently time-domain diffusion). My little claim to fame is polyphonic pitch detection expressed as semantic segmentation of synthesised piano rolls.
Generally interested in representation learning by self-supervision, and applying differentiable programming to digital signal processing for next-level audio products and music production tools.
I’m currently thinking about audio-based finetuning methods, reproducible code for scientific computing, and whether I should study philosophy & plumbing instead.
Look for carlthome at GitHub, Gmail, Reddit, Twitter, LinkedIn, Kaggle, Spotify, Facebook, SoundCloud, Bandcamp, last.fm, YouTube, etc. It’s usually me. Sometimes it’s another guy.
Some interesting workplaces I’ve been developing at:
Some cool people I’ve been fortunate to support on their learning journey: