JM-data
Research scientist at Ecole Polytechnique, passionate about Machine Learning and Deep Learning algorithms, especially using 3D Data.
Pinned Repositories
Bayesian-Variable-Selection
Using Bayesian Statistics for variable selection in Machine Learning modelling
DeepFunctionalMaps
Extreme-Quantile-Regression
Facial-Recognition-Via-Sparse-Recognition
Neural Networks are fun, but here's a way to recognize people using Compressed Sensing methods
GPU_Q-Learning
A look on parallelizing Reinforcement Learning code on GPU using Theano and Keras
Machine-Learning-And-Climate-Change
Second Year Machine Learning Project at ENSAE
NLP-on-Webscraped-Wikipedia-articles
Small NLP code used to cluster random Wikipedia articles in different languages
Online-Learning-Gaussian-Distribution
Using Online Learning techniques to estimate mean vector and covariance matrix of multivariate gaussian distributions
PyFuncMap
Functional Map pipeline written in Python
Unsupervised_DeepFunctionalMaps_ICCV19
An unsupervised approach to Deep Functional Maps
JM-data's Repositories
JM-data/Unsupervised_DeepFunctionalMaps_ICCV19
An unsupervised approach to Deep Functional Maps
JM-data/Machine-Learning-And-Climate-Change
Second Year Machine Learning Project at ENSAE
JM-data/PyFuncMap
Functional Map pipeline written in Python
JM-data/DeepFunctionalMaps
JM-data/Facial-Recognition-Via-Sparse-Recognition
Neural Networks are fun, but here's a way to recognize people using Compressed Sensing methods
JM-data/Online-Learning-Gaussian-Distribution
Using Online Learning techniques to estimate mean vector and covariance matrix of multivariate gaussian distributions
JM-data/Bayesian-Variable-Selection
Using Bayesian Statistics for variable selection in Machine Learning modelling
JM-data/Extreme-Quantile-Regression
JM-data/GPU_Q-Learning
A look on parallelizing Reinforcement Learning code on GPU using Theano and Keras
JM-data/NLP-on-Webscraped-Wikipedia-articles
Small NLP code used to cluster random Wikipedia articles in different languages
JM-data/pointnet2
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
JM-data/Predicting-Brand-Performance-on-Facebook
Machine Learning project aiming to determine key factors in the performance of an anonymous brand on Facebook
JM-data/TSP-with-Monte-Carlo-Simulations
Second Year project for the Monte Carlo class at ENSAE ParisTech