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Australian National University
- Canberra, ACT, Australia
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11:54
- 11h ahead - https://amartinhuertas.github.io/
Stars
CEED Library: Code for Efficient Extensible Discretizations
Python Implementation of Karel for CS106A at Stanford
pix2tex: Using a ViT to convert images of equations into LaTeX code.
Public files of the Workshop webpage + materials
Material corresponding to the Gridap Workshop, held at ANU Canberra, Australia, 28th/29th, Nov, 2023
Trixi.jl: Adaptive high-order numerical simulations of conservation laws in Julia
ETH course - Solving PDEs in parallel on GPUs
T8code.jl is lightweight Julia wrapper for the t8code C/C++ library, which allows to manage multiple connected adaptive quadtrees/octrees in parallel and supports various element types.
Software accompanying the paper "Robust finite element methods and solvers for the Biot-Brinkman equations in vorticity form"
Software accompanying the paper "Efficient and reliable divergence-conforming methods for an elasticity-poroelasticity interface problem"
Repo for the NCI-NVIDIA hackaton on June 2023
Heterogeneous programming in Julia
Public repository for The Art of HPC volume 1: Scientific Computing
METIS - Serial Graph Partitioning and Fill-reducing Matrix Ordering
Reference implementation for the paper "Ratku, A., Neumann, D. Derivatives of Feed-Forward Neural Networks and their Application in Real-Time Market Risk Management"
Material for the Gridap tutorial day hosted by Groupe Calcul and INRIA Saclay on 1st December 2022
Reverse Mode Automatic Differentiation for Julia
Linear Operators for Julia
A version of the STREAM benchmark which measures the sustainable memory bandwidth.
Gridap drivers for geoscience applications
Julia package for lazily representing matrices filled with a single entry
Learn Julia via interactive tutorials!
Reusable compiler infrastructure for Julia GPU backends.
Must-read Papers on Physics-Informed Neural Networks.
Iterative algorithms for solving linear systems, eigensystems, and singular value problems
Julia project template that illustrates how to automate generation of computation results using DrWatson and Pluto.jl reactive/interactive notebooks
🧞The highly productive Julia web framework