harrisonzhu508
Research Scientist @ Fano Labs | ex-intern @ Amazon and Shell.ai | ex-PhD student at Imperial College London (StatML CDT @ Imperial & Oxford )
Imperial College LondonHong Kong
Pinned Repositories
Algorithms
Computer Science Fundamentals
covid19model
Code for modelling estimated deaths and cases for COVID19.
dirichlet-bayes
Targeting a finite mixture using a Dirichlet process-style Gibbs Sampler
ICHackTeam1
Thomas Wong, Mike Chen + Harrison Zhu
math40012
MATH40012 Q&A Imperial College London
MGPVAE
Markovian Gaussian Process Variational Autoencoders
numerical-algos
Numerical Analysis Algorithms
BART-Int
Bayesian Probabilistic Numerical Integration with Tree-Based Models (using Bayesian Additive Regression Trees)
covid19model
Code for modelling estimated deaths and cases for COVID19.
neural-processes
Implementation of neural processes and a number of extensions in pytorch for StatML 2019 Statistical Machine Learning course
harrisonzhu508's Repositories
harrisonzhu508/MGPVAE
Markovian Gaussian Process Variational Autoencoders
harrisonzhu508/covid19model
Code for modelling estimated deaths and cases for COVID19.
harrisonzhu508/Algorithms
Computer Science Fundamentals
harrisonzhu508/math40012
MATH40012 Q&A Imperial College London
harrisonzhu508/numerical-algos
Numerical Analysis Algorithms
harrisonzhu508/Bayesian-Inference-on-Football
harrisonzhu508/citadel-challenge-2.0
harrisonzhu508/dirichlet-bayes
Targeting a finite mixture using a Dirichlet process-style Gibbs Sampler
harrisonzhu508/ICHackTeam1
Thomas Wong, Mike Chen + Harrison Zhu
harrisonzhu508/Beijing-AQI-Forecast
Time Series forecasting of AQI values in Beijing
harrisonzhu508/bsae
Bayesian small area estimation
harrisonzhu508/causalml
Uplift modeling and causal inference with machine learning algorithms
harrisonzhu508/Citadel-Datathon
Citadel Datathon
harrisonzhu508/citadelchallenge
Citadel Challenge
harrisonzhu508/data
Daily time-series data for all countries & state/province data for 30+ countries
harrisonzhu508/dbarts
Discrete Bayesian Additive Regression Trees Sampler
harrisonzhu508/diffrax
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
harrisonzhu508/emukit
A Python-based toolbox of various methods in uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
harrisonzhu508/GPflow
Gaussian processes in TensorFlow
harrisonzhu508/harrisonzhu508
harrisonzhu508/hugo-academic
📝 The website builder for Hugo. Build and deploy a beautiful website in minutes!
harrisonzhu508/m4r_project
Source code for M4R Project
harrisonzhu508/MVBAgg
harrisonzhu508/neural-processes
This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).
harrisonzhu508/reconhub.github.io
Official website for RECON - The R Epidemics CONsortium
harrisonzhu508/Swiss-Rainfall-Modelling
Modelling of Rainfall via GLMs
harrisonzhu508/torchsde
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
harrisonzhu508/weather4cast-2022
Starter Kit for the NeurIPS 2022 Weather4cast competition
harrisonzhu508/web-exercises