laure-crochepierre
Research engineer (PhD) at RTE, France. My research interests include applications of interactive machine learning and RL to power systems.
RteParis, France
Pinned Repositories
Autoencoder_Embedding_Expert_Caracteristion_
baby_monitoring
Arduino based infant monitoring module using an accelerometer, temperature and sound sensor. This arduino script aims at beeing connected to a mobile app
deep-symbolic-regression
Source code for deep symbolic regression.
DnCNN-tensorflow
:octocat::octocat:A tensorflow implement of the paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"
gesture_controlled_robot
Robot controlled by specific gestures processed with OpenCV and classified using a MLP neural network
gplearn
Genetic Programming in Python, with a scikit-learn inspired API
Grid2Op
Grid2Op a testbed platform to model sequential decision making in power systems.
interactive-rbg2sr
reinforcement-based-grammar-guided-symbolic-regression
Grid2Op
Grid2Op a testbed platform to model sequential decision making in power systems.
laure-crochepierre's Repositories
laure-crochepierre/reinforcement-based-grammar-guided-symbolic-regression
laure-crochepierre/Autoencoder_Embedding_Expert_Caracteristion_
laure-crochepierre/interactive-rbg2sr
laure-crochepierre/baby_monitoring
Arduino based infant monitoring module using an accelerometer, temperature and sound sensor. This arduino script aims at beeing connected to a mobile app
laure-crochepierre/deep-symbolic-regression
Source code for deep symbolic regression.
laure-crochepierre/DnCNN-tensorflow
:octocat::octocat:A tensorflow implement of the paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"
laure-crochepierre/gesture_controlled_robot
Robot controlled by specific gestures processed with OpenCV and classified using a MLP neural network
laure-crochepierre/gplearn
Genetic Programming in Python, with a scikit-learn inspired API
laure-crochepierre/Grid2Op
Grid2Op a testbed platform to model sequential decision making in power systems.
laure-crochepierre/LDPS
Learning DTW-Preserving Shapelets
laure-crochepierre/leap_net
This repository implements the necessary algorithm and data generation process to reproduce the results published around LEAP Net.
laure-crochepierre/ml4ps
Toolkit to facilitate the application of Machine Learning techniques for Power Systems applications
laure-crochepierre/PonyGE2
PonyGE2: grammatical evolution and variants in Python
laure-crochepierre/posos_data_challenge
Posos/ENS data challenge
laure-crochepierre/pykalman
Kalman Filter, Smoother, and EM Algorithm for Python
laure-crochepierre/time_series_clustering_via_community_detection
Code from the paper "Time Series Clustering via Community Detection in Networks"