traffic, a toolbox for processing and analysing air traffic data
traffic, a toolbox for processing and analysing air traffic data - Published in JOSS (2019)
r-raster-vector-geospatial
Introduction to Geospatial Raster and Vector Data with R
https://github.com/bokeh/bokeh
Interactive Data Visualization in the browser, from Python
python-ecology-lesson
Data Analysis and Visualization in Python for Ecologists
piqmie
Proteomics Identifications & Quantitations Data Management & Integration Service
explore
R package that makes basic data exploration radically simple (interactive data exploration, reproducible data science)
python-socialsci
Data Analysis and Visualization with Python for Social Scientists
2023-10-22-carpentry-social-science
Go to https://dcs-training.github.io/2023-10-22-Carpentry-Social-Science/ to follow along the material
ressources
Dépôt de ressources pédagogiques, conçu pour fournir des supports d'apprentissage, des tutoriels et des outils pour les ateliers et formations dans les domaines du scraping de données, de l'analyse de réseaux et de l'analyse de texte.
labtoolbox
LabToolbox is a collection of tools for the analysis and processing of experimental data in scientific research.
cloudfast-dl4pude
A Cloud-based Deep Learning System for Improving Crowd Safety at Event Entrances
https://github.com/cct-datascience/ggplot2-workshop-series
Materials for intermediate ggplot2 workshop series focused on creating professional-qality data visualizations
2024-11-18-cdcs-carpentry-social-sciences
This repo contains the material produced for a course run by the Centre in November 2024
https://github.com/boddusripavan-111/kitikiplot
KitikiPlot A Python library to visualize categorical sliding window data
https://github.com/pranabdas/suvtools
Python library for analyzing and visualizing SSLS SUV Beamline data.
rseb
An R-package for daily tasks required to handle biological data as well as avoid re-coding of small functions for quick but necessary data management.
torchsom
TorchSOM is a PyTorch-based library for training Self-Organizing Maps (SOMs), a type of unsupervised learning algorithm used for clustering and dimensionality reduction. Designed for scalability and ease of use, this implementation is optimized for large-scale data.
trial-monitor
Trial Monitor enables the creation of personalised dashboard for monitoring your field trials