Explore projects
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OBSOLETE_Fed-BioMed / OBSOLETE_Fed-BioMed
Apache License 2.0Fed-BioMed moved to https://github.com/fedbiomed/fedbiomed
A federated learning framework for empowering biomedical research
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Loki / PolyphonyECS
OtherAn experimental GUI programming toolkit based on the Entity-Component-System (ECS) model
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vidjil / vidjil
OtherAn open-source platform for analysis of high-throughput repertoire sequencing (RepSeq) data
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belenios / belenios
GNU Affero General Public License v3.0Verifiable online voting system http://www.belenios.org
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sed-rennes / sharelatex / python-sharelatex
GNU General Public License v3.0 onlypython client for sharelatex and a tool to manage a project between git and the web UI.
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scripta / eScriptorium
MIT LicenseA project providing digital recognition of handwritten documents using machine learning techniques.
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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.
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RobotLearn / RobotLearn Cluster Monitor
GNU Affero General Public License v3.0Updated -
allgo / allgo
GNU Affero General Public License v3.0Updated -
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ViTE is a trace explorer. It is a tool to visualize execution traces in Pajé or OTF format for debugging and profiling parallel or distributed applications. It is an open source software licenced under CeCILL-A.
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COAST / Multi User Text Editor / Mute
GNU Affero General Public License v3.0a scalable collaborative document editor with CRDT, P2P and E2EE · mute.loria.fr
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ILDA / wildmap
BSD 3-Clause "New" or "Revised" LicenseWeb-based map visualization on cluster-driven UHRWD.
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PoC at creating a VSCode extension providing an Elpi Inspector
archived 1Updated -
A version of TsunamiLab running on cluster-driven wall displays.
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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/
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