relmonta

Automates

Documenter.jl

A documentation generator for Julia.

hyphai

Source code for the paper "HyPhAICC v1.0: a hybrid physics–AI approach for probability fields advection shown through an application to cloud cover nowcasting".

ion-java

Java streaming parser/serializer for Ion.

julia

The Julia Language: A fresh approach to technical computing.

MTH2210.jl

Codes Julia pour le cours MTH2210

optinum

TP d'optimisation numérique 2A SN N7

pdenetgen

Python package for NN generation from physics

relmonta.github.io

This is my portfolio

resto-pred

TFI has provided a dataset with 137 restaurants in the training set, and a test set of 100000 restaurants. The data columns include the open date, location, city type, and three categories of obfuscated data: Demographic data, Real estate data, and Commercial data. The revenue column indicates a (transformed) revenue of the restaurant in a given year and is the target of predictive analysis.

relmonta/hyphai

Source code for the paper "HyPhAICC v1.0: a hybrid physics–AI approach for probability fields advection shown through an application to cloud cover nowcasting".

relmonta/Automates

relmonta/Documenter.jl

A documentation generator for Julia.

relmonta/ion-java

Java streaming parser/serializer for Ion.

relmonta/julia

The Julia Language: A fresh approach to technical computing.

relmonta/MTH2210.jl

Codes Julia pour le cours MTH2210

relmonta/optinum

TP d'optimisation numérique 2A SN N7

relmonta/pdenetgen

Python package for NN generation from physics

relmonta/relmonta.github.io

This is my portfolio

relmonta/resto-pred

TFI has provided a dataset with 137 restaurants in the training set, and a test set of 100000 restaurants. The data columns include the open date, location, city type, and three categories of obfuscated data: Demographic data, Real estate data, and Commercial data. The revenue column indicates a (transformed) revenue of the restaurant in a given year and is the target of predictive analysis.