andrewzm Goto Github PK
Name: Andrew Zammit Mangion
Type: User
Company: University of Wollongong
Twitter: andrewzm
Location: Wollongong, Australia
Name: Andrew Zammit Mangion
Type: User
Company: University of Wollongong
Twitter: andrewzm
Location: Wollongong, Australia
Replication code for the AWD paper (PNAS)
Source code for reproducing the results in the ARSIA paper "Neural Methods for Amortised Statistical Inference"
A brainstorm on assimilation methods
Supplement package for papers on atmospheric trace-gas inversion by Zammit-Mangion et al.
Bivariate modelling using the conditional approach
Sample code for the KI paper
R package with classes for data frames with column constraints, and lists requiring all elements to have the same class.
Deep IDE Models for Spatio-Temporal Forecasting
Deep Compositional Spatial Models
Website with information on work done on the DECRA award "Deep space-time models for modelling complex environmental phenomena" DE180100203
Tools to make an R developer's life easier
Discrete Global Grids in data frame format for use in R (and Fixed Rank Kriging in particular)
Enhanced False Discovery Rate
Fixed Rank Kriging with big data
Hamiltonian Monte Carlo sampler
Integro-difference equation spatio-temporal modelling
Copy of INLA repo for Travis CI
A general-purpose tool for dynamic report generation in R
Yet another sparse linear algebraic routines package for R, with functions tailored for spatio-temporal modelling and inference with Gaussian Markov Random Fields.
An R-Software package for visualising uncertainty in large-scale Gaussian systems
An R-Software package for multi-variate spatio-temporal modelling
R interface to the Julia package NeuralEstimators -- lean version
Reproducible code for Remote Sensing article
Repository for reproducing results in paper "Spatial Bayesian Neural Networks"
Creates a wrapper for the SuiteSparse routines in C that us the Takahashi equations to compute the elements of the inverse of a sparse matrix at locations where the (permuted) Cholesky factor is non-zero. The resulting matrix is known as a sparse inverse subset. Some helper functions (like the permuted Cholesky factorisation) are also implemented. Support for spam matrices is currently limited and will be implemented in the future.
Reproducible code for the paper "Multi-Scale Process Modelling and Distributed Computation for Spatial Data"
Code for reproducing the application case study of the paper "Spherical Poisson Point Process Intensity Function Modeling and Estimation with Measure Transport" by James Ng and Andrew Zammit-Mangion
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.