Computational economist. My field of interest is applied microeconometrics and computational methods.
- Denmark
Stars
This repository contains implementations and illustrative code to accompany DeepMind publications
📚 Freely available programming books
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Optax is a gradient processing and optimization library for JAX.
Hardware accelerated, batchable and differentiable optimizers in JAX.
Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
solving, simulating, estimating separable matching models