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ConnectionLens ingests heterogeneous data sources (JSON, XML, HTML, CSV, RDF, relational databases, text files, PDF) into a single, integrated graph. It stores these graphs and allows querying them using keywords, and connecting them through a GUI.

Adaptative Segmentation and Tracking of Embryonic Cells (developer version, python code only)

Find Inventors and Discovery Game by Inria Unity "Game" in VR (oculus) for homo numericus exibition

The meta repository for building OpenViBE

ConnectionStudio integrates highly heterogeneous data into graphs, enriched with extracted entities. Studio users can discover the entities in their data, navigate across connections between datasets, explore and query the data in many ways. The Studio currently supports: CSV, JSON, XML, RDF, text, property graphs, all Office formats, and PDF datasets.

For more information, see: https://connectionstudio.inria.fr

The scientific publications behind the platform: https://team.inria.fr/cedar/connectionlens/

Python API and schedulers for Batsim

A set of tools to improve L-py functionalities

A light version of DSPFilters : https://github.com/vinniefalco/DSPFilters.

Repository for environment maps (both RGB and spectral).