Projects

Here is a list of open-source code on my GitHub.

Reinforcement learning

• Acme (2020) : paper | code
• Behaviour Suite (2020): paper | code
• Scalable MCTS (2017): code
• AIXjs (2016): page | code

Machine learning

• Accompanying materials for various blog posts:
  • Variational autoencoders (2019): post | notebook
  • Principal component analysis (2019): post | notebook
  • Interpolation regime (2019): post | notebook
  • Bias-variance decomposition (2019): post | notebook
  • Sampling basics (2019): post | notebook
  • Pandas basics (2019): post | notebook
  • Belief propagation (2016): post | code
  • Linear regression (2016): post | code
• Automated license plate classification system (2015): code
• Conditional random field (2014): code

Miscellaneous

• Conway’s game of life (2019): page | code
• Mandelbrot visualization (2019): page | code
• My blog/website (2016-): code