smac-group Goto Github PK
Name: Statistical Methods, Applications & Computing Group
Type: Organization
Blog: smac-group.com
Name: Statistical Methods, Applications & Computing Group
Type: Organization
Blog: smac-group.com
R Package for Granger-Causal Analysis of Irregularly Sampled Signals
:chart_with_upwards_trend: :chart_with_downwards_trend: :chart_with_upwards_trend: :chart_with_upwards_trend: :chart_with_downwards_trend: Multisignal GMWM estimation and model selection for IMU
🛰 The navigation R package implements a framework to analyze the impact of sensor error modeling on performance of integrated navigation (sensor fusion) based on IMU, GPS, and barometer data.
A free Dynamic Network (DN) solver that runs online in the browser. ODyN fuses information from cameras, GNSS and inertial sensors in a single adjustment and it can be used to estimate a high-frequency trajectory for precise direct geo-referencing, to improve photogrammetric reconstructions in challenging scenarios or to determine several types of system calibration parameters.
An implementation of the Panning Algorithm
:notebook_with_decorative_cover: This document is currently under development and has been designed as an introductory course on Inertial Sensor Stochastic Calibration
:hourglass_flowing_sand: Time Series Tools R package provides a series of tools to simulate, plot, estimate, select and forecast different time series models.
Repository containing the source code for the SMAC Group website.
Data sets used in various packages.
Website for the Data Analytics Lab Workshop 2024 in Ovronnaz, Switzerland
swag is a R package that trains a meta-learning procedure which combines screening and wrapper methods to find a set of extremely low-dimensional attribute combinations.
We provide the codes necessary to replicate the findings presented in "Evidence of antagonistic predictive effects of miRNAs in breast cancer cohorts through data-driven networks" authored by Cesare Miglioli, Gaetan Bakalli, Samuel Orso, Mucyo Karemera, Roberto Molinari, Stephane Guerrier and Nabil Mili.
:notebook: "An Introduction to Time Series Analysis with R" is a text which is currently under development and aims at giving readers a general overview of the main aspects that characterise time series and the most common tools used for their analysis.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.