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Coriolis VLSI CAD Tools

EPIQUE: Exploring the Evolution of Science with Pivot Topic Graphs

Basic structure for machine learning projects

Alliance/Coriolis Toolkit & Checker contain various design flow examples, blocks or full chips. It is also used as a regression test for all the tools.

A decentralized learning research framework

The code deposit for the "SSH Super-Resolution using high resolution SST with a Subpixel Convolutional Residual Network" article submitted at Climate informatics 2022

Codes des exemples de l'article "Cadre déclaratif modulaire d'évaluation d'actions selon différents principes éthiques", pour la Revue d'Intelligence Artificielle

ATEM 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

A python library for multiprecision Affine Arithmetic

Python wrapper to load and read inrimage data

An interactive exploration platform for topic evolution graphs

migrating old papers from gforge