Explore projects
-
Hector Suzanne / autobill
GNU General Public License v3.0 or laterUpdated -
Updated
-
IE6 / 🚄 tgv
GNU General Public License v2.0 or laterUpdated -
Codes des exemples de l'article "Cadre déclaratif modulaire d'évaluation d'actions selon différents principes éthiques", pour la Revue d'Intelligence Artificielle
Updated -
Updated
-
inrimage / mpeg_encode
OtherUpdated -
Alex Elenter / OneWayTrading
MIT LicenseUpdated -
Louis Fournier / Sparse Patches
BSD 3-Clause "New" or "Revised" LicenseImagenet classification using sparse patch codes.
Updated -
Algorithms to learn Atoms Network model based on learning subset of labels
Updated -
Powerpoint and beamer template for MLIA/LIP6 using Sorbonne Université style
Updated -
-
Mohab Safey El Din / msolve
GNU General Public License v2.0 or laterMultivariate polynomial system solver
Updated -
-
Charles Bouillaguet / QMLE
The UnlicenseMagma implementations for the EUROCRYPT'13 paper "Graph-Theoretic Algorithms for the Isomorphism of Polynomials problem"
Updated -
Fabrice Lecuyer / rescience-gorder
MIT LicenseThis is the source code of the 2021 replication for ReScience of the paper "Speedup Graph Processing by Graph Ordering" by Hao Wei, Jeffrey Xu Yu, Can Lu, and Xuemin Lin, published in Proceedings of SIGMOD 2016.
Updated -
snowpackvipn / Preventing WebRTC IP Address Leaks
GNU General Public License v3.0 or laterA cross-platform Docker solution to mitigate WebRTC IP address leaks in Linux, macOS, and Windows. GPL-3.0-or-later.
GitLab repository mirror of the main repository: https://github.com/snowpackvipn/preventing-webrtc-ip-address-leaks. SoftwareHeritage: swh:1:dir:13dd58fbbff37434ad0432da7ca69c84ea4eb9a4.
Updated -
IE6 / synapse-meshsim
GNU General Public License v3.0 or laterUpdated -
equipebd / Atem
GNU General Public License v2.0 or laterATEM is a novel framework for studying topic evolution in scientific archives. ATEM is based on dynamic topic modeling and dynamic graph embedding techniques that explore the dynamics of content and citations of documents within a scientific corpus. ATEM explores a new notion of contextual emergence for the discovery of emerging interdisciplinary research topics based on the dynamics of citation links in topic clusters. Our experiments show that ATEM can efficiently detect emerging cross-disciplinary topics within the DBLP archive of over five million computer science articles. paper: https://arxiv.org/abs/2306.02221
Updated -
A blockgraph for mesh networks
Updated