Research software

Software

Selected research implementations and teaching material. The complete collection is available on GitHub.

Introductory PyTorch implementation for physics-informed neural networks.

Hands-on material for building and training neural networks in PyTorch.

Research code for numerical experiments involving parabolic equations on graphs.

Numerical examples related to universal approximation and finite-sample memorization.

Continuous-time mean-field reinforcement learning for decentralized collective transport using MF-PhiBE and PPO.

FEniCS implementation for randomized minimizing movements and the obstacle problem.