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University of Texas at Austin
- Austin, TX
- https://scholar.google.com/citations?user=IQJiX2kAAAAJ&hl=en
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Nonnegative Tensor Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning
Use genetic algorithms to evolve math identities
Fast Iterative Digital Volume Correlation Algorithm
Distributed High-Performance Symbolic Regression in Julia
Symbolic programming for the next generation of numerical software
Generic UNet implementation written in pure Julia, based on Flux.jl
Adaptive Lagrangian Digital Volume Correlation - volumetric displacement and strain measurement based on a hybrid local-global approach
A SAM-based model for instance segmentation of images of grains
Concise and beautiful algorithms written in Julia
Framework to create your own genetic algorithm with multi-threading.
🌊 Julia software for fast, friendly, flexible, ocean-flavored fluid dynamics on CPUs and GPUs
Geophysical fluid dynamics pseudospectral solvers with Julia and FourierFlows.jl.
Tools and code for using FourierFlows to solve problems in geophysical turbulence.
Award winning software library for nonlinear dynamics and nonlinear timeseries analysis
Tools for the exploration of chaos and nonlinear dynamics
Interactive display of images and movies
K3D lets you create 3D plots backed by WebGL with high-level API (surfaces, isosurfaces, voxels, mesh, cloud points, vtk objects, volume renderer, colormaps, etc). The primary aim of K3D-jupyter is…
3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK)
An algorithm that detects one-dimensional sequences in complex datasets
Data analysis tools for rock mechanics experiments in the spirit of the legacy XLook tool.