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Name: Benjamin DONNOT
Type: User
Name: Benjamin DONNOT
Type: User
This repository contains the supplemental material for the paper: "Anticipating Contingencies in power grids using artificial neural networks", submitted at the IJNN 2018 conference
Thi project is done for the course "Statistiques Bayésinnes" at ENSAE ParisTech. Teacher : Judith ROUSSEAU
Done for the courses "Bootstrap et Rééchantillonnage" at ENSAE (last year)
This project is done for the course "Projet informatique" at ENSAE ParisTech. It aims to create a game of coinche (not very different from bridge) with an artificial intelligence.
This repository exhibit the code used during my phd to generate load and generation profile for the IEEE case 118.
A small discord bot to play trivia
This project is done for the course "Elements Logiciels pour le Traitement de Donnees Massives" at ENSAE ParisTech. It aims at recommending movies at users.
Learn fast, scalable, and calibrated measures of uncertainty using neural networks!
Supplemental material of the paper title: "Fast Power system security analysis with Guided Dropout" submitted at the ESANN 2018 symposium (https://www.elen.ucl.ac.be/esann/)
A gamification of the "powergrid problem" using grid2op that allows you to "operate" a powergrid.
A PowerModels Backend for the Grid2Op Platform
Baseline agent for usage of pandapower in Grid2Op
More backends for Grid2Op
This repository is a tool for visualizing an agent RL process from a grid2op format. It was made though a partnership between RTE and Artelys for the different challengers of the L2RPN RL Challenge.
Implementation of the "guided dropout", an algorithm presented in
Implementation of guided dropout / guided dropconnect as shown in
Ce répertoire contient les codes sources pour le projet d'Introduction à la Biologie Moléculaire dispensé en 3e année à l'ENSAE ParisTech
This repository implements the necessary algorithm and data generation process to reproduce the results published around LEAP Net.
LightSim2grid implements a c++ backend targeting the Grid2Op (https://github.com/rte-france/grid2op) platform.
Contains the code of the 1st place submission to the 2022 Learning 2 Run a Power Network (L2RPN) Network Competition.
Convenient Power System Modelling and Analysis based on PYPOWER and pandas
A Power Network simulator, compatible with OpenAI Gym with a Reinforcement Learning-focused environment.
A PowSyBl and Python integration based on GraalVM native image
The implementation of scenario generation for renewables production process
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.