Amsterdam, Netherlands

Thomas Pinder

Advanced
@thomaspinder

Senior Data Scientist @ Netflix. Interested in Gaussian processes, causal inference, and approximate inference.

thomas-pinder.com/

GPJax. Gaussian processes in JAX and Equinox.

642

Impulso. Bayesian VAR and SVAR models in Python.

14

SteinGP. Code to fit Gaussian processes using Stein variational gradient descent. Code is writted in Tensorflow 2.0 and GPFlow 2.

9

GPViz. A Python package for visualising GPJax Gaussian processes.

5

bayesian_uncertainty_adversaries. Thesis: Detecting Adversaries in DQNs and Computer Vision using Bayesian CNNs

4

NERCExercises. Jupyter Notebook

3

AI_chess. A MCTS based approach to solving chess puzzles using UCT, Thompson Sampling and Epsilon-Greedy

2

StatMLExercises. Jupyter Notebook

2

SpectralMixtureGPFlow. Jupyter Notebook

2

HierarchicalGPFlow. Hierarchical Gaussian process in GPFlow

1

MultiAgents. Python

1

airQuality. Modelling the health effects of air quality

1
12
Apply