Most of my contributions are unfortunately private, but I do have some "extra-curricular" projects for which I created public repositories. These repos essentially revolve around either finance or the "Abstraction & Reasoning Corpus" challenge.

• CountingWithTransformers: these scripts are the companion code to my paper "Counting and Algorithmic Generalization with Transformers".
• ARC_gym: a framework in development to help generate training data for the Abstraction & Reasoning Corpus challenge.
• MLC-ARC_gym: an experiment that applies the MLC method (Lake & Baroni (2023)), a meta-learning Transformer, on the ARC gym.
• Microstructure: a framework in development to help generate simulated financial data, to evaluate algorithms & approaches to ML trading.
• RLNonStationary: companion code for a talk I gave at Quantopian about using simulated data to train a reinforcement learning algorithm when non-stationarity is a problem.