Harrison Zhu's Projects
Computer Science Fundamentals
Time Series forecasting of AQI values in Beijing
Bayesian small area estimation
Uplift modeling and causal inference with machine learning algorithms
Citadel Datathon
Citadel Challenge
Code for modelling estimated deaths and cases for COVID19.
Daily time-series data for all countries & state/province data for 30+ countries
Discrete Bayesian Additive Regression Trees Sampler
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
Targeting a finite mixture using a Dirichlet process-style Gibbs Sampler
A Python-based toolbox of various methods in uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
Gaussian processes in TensorFlow
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Thomas Wong, Mike Chen + Harrison Zhu
Source code for M4R Project
MATH40012 Q&A Imperial College London
Markovian Gaussian Process Variational Autoencoders
This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).
Numerical Analysis Algorithms
Official website for RECON - The R Epidemics CONsortium
Modelling of Rainfall via GLMs
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
Starter Kit for the NeurIPS 2022 Weather4cast competition