Perform parallelized SIFT on a video, multiple frames at a time, using CUDA
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Updated
Nov 18, 2024 - JavaScript
Julia is a high-level dynamic programming language designed to address the needs of high-performance numerical analysis and computational science. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library.
Perform parallelized SIFT on a video, multiple frames at a time, using CUDA
🎈 Simple reactive notebooks for Julia
VS Code extension to transform table from clipboard to R, Python or Julia dataframe
Masters thesis in the theme of creating a realtime video/photo processor using cellular neural network in web application.
Repository of the main Tidy Intelligence website
Personal webpage
A Julia language support package for the Atom editor
an interactive explorer for flow cytometry data
Visualizador de shaders fractal Julia & Mandelbrot con Three.js
Learn cloud computing by developing and deploying a web application. In this tutorial, we create an MVC web application with Julia language using the Genie framework and deploy it to a virtual machine with OpenStack, for example, on CSC Pouta and an OpenShift container platform, for example, on CSC Rahti. You can read more details from the docum…
Julia wrapper for the Voyager data exploration tool
Fortran to Julia transpiler on JavaScript
Created by Jeff Bezanson, Stefan Karpinski, Viral B. Shah, Alan Edelman
Released February 14, 2012