-
University of Milan
- via Celoria 16, Milano
- www.marcolombardi.org
Highlights
- Pro
Stars
Learning materials for GPU programming in Julia.
A version of Chairmarks with nice histograms
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
Sampling from intractable distributions, with support for distributed and parallel methods
A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.
Functions generated at runtime without world-age issues or overhead
Play atmospheric modelling like it's LEGO.
GPU Programming with Julia - course at the Swiss National Supercomputing Centre (CSCS), ETH Zurich
A running-jumping-swordfighting game I made on the Apple II from 1985-89
A framework for out-of-core and parallel execution
A community-maintained Python framework for creating mathematical animations.
Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019
Easy, standardised parameter get/set for heterogeneous or nested immutable models.
Efficient storage and handling of nested arrays in Julia
Designs for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations
Arrays with both statically and dynamically sized axes in Julia
Python utility for converting ADQL to local SQL, including generic spatial indexing.
Pythonic Bayesian inference and visualization for the MultiNest Nested Sampling Algorithm and PyCuba's cubature algorithms.
Fit and compare complex models reliably and rapidly. Advanced nested sampling.
Improve the language of your paper before submission
Scalable 1D Gaussian Processes in C++, Python, and Julia