Researcher in probabilistic modeling and machine learning. Merging the "unreasonable effectiveness" of deep learning with Bayesian principles.
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University of Helsinki
- Oakland, CA
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11:49
- 8h behind
Highlights
- Pro
Stars
PyTorch development environment with Metal acceleration for Darwin
Linear algebra foundation for the Rust programming language
Source code for Bayesian Optimization in Action, published by Manning
PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python
PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python
Lightweight Gaussian process regression package in Python.