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Neural Network Adequate hardWare Architectures for Quantization

Neural Network Adequate hardWare Architectures for Quantization

An implementation of an apposed-cortex model of an epithelial tissue.

OJS customizations for the Mersenne workflow as a plugin

This project holds a raw jupyter notebook, to be filled with user-defined parameters and options, to download CMIP6 data through a csv file. It was done thanks to the intake-esgf python module : https://intake-esgf.readthedocs.io/en/latest/. It is associated to an utilitary package that can be found on pypi. The development of this package is done within this repository.

Many options are available to preprocess the data and improve the output of the intake-esgf catalog.

Feel free to contact me or to raise issues !

Reflectivity method for fast generation of seismograms in the acoustic approximation

https://elan.gricad-pages.univ-grenoble-alpes.fr/translatoscope/

Cours de Filtrage Optimal sicom 2A

Voir https://tacteo.readthedocs.io/