Joshua G Albert Joshuaalbert

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1. Probabilistic Programming and Nested sampling in JAX

   Python 228 16

2. Bayesian Optimisation powered by JAXNS

   Python 1

3. Provides the tomographic kernel from J. G. Albert et al. 2020

   Python

4. DSA-2000 Calibration and Forward Modelling

   Jupyter Notebook 3 1

5. This is a well-tested standalone implementation of a fair reentrant lock for conncurrent programming with asyncio.

   Python 10 2

6. Extended State Space Model for JAX

   Python 3