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Researcher in Machine Learning
hamiltorch. PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
473LCBNN. Jupyter Notebook
25GP-LAPLACE. A Gaussian process based technique for locating attractors from trajectories in time-varying fields
8python-ardrone. Python library for the AR.Drone
1dblmahmc. Code to go with the paper "Decentralized Bayesian Learning with Metropolis-Adjusted Hamiltonian Monte Carlo"
1Bern_gpflow_tutorial. A tutorial in gpflow in notebook form, compiled from gpflow examples.
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