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Mark Cheeseman's Projects

bom_observational_data_generation icon bom_observational_data_generation

Repository contains code for the processing of input data and the generation of artificial observation data through various machine learning methods

ci_test icon ci_test

Test repository used for Jenkins CI deployment and development

cuffs icon cuffs

A GPU-accelerated Rotation Measure Synthesis code

finding_donors icon finding_donors

Contains the required files for Assignment 1 of the Udacity Machine Learning Nanodegree

fms icon fms

GFDL's Flexible Modeling System

fv3_containers icon fv3_containers

Repository to hold the Singularity and Docker definition files for the FV3 atmospheric model

gt4py icon gt4py

Python API to develop performance portable applications for weather and climate.

ifos2d icon ifos2d

Modified version of the the Inversion of Full Observed Seismograms (2D) program to include parallel output of data.

ifos3d icon ifos3d

HPC-specific port of the IFOS3D software from GPIAG group

imstack icon imstack

Take a set of fits images (which share a World Coordinate System, but span different timesteps, spectral channels, or polarisations) and write the results into an HDF5 file which is disk-space-efficient, stores all relevant metadata, and is optimised for efficient extraction of timeseries (lightcurve) data.

pyhpc-benchmarks icon pyhpc-benchmarks

A suite of benchmarks to test the sequential CPU and GPU performance of most popular high-performance libraries for Python.

sparseconvnet icon sparseconvnet

Spatially-sparse convolutional networks. Allows processing of sparse 2, 3 and 4 dimensional data.Build CNNs on the square/cubic/hypercubic or triangular/tetrahedral/hyper-tetrahedral lattices.

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