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blackbox

A Python module for parallel optimization of expensive black-box functions

dep-impact

A python package for conservative estimation of an output quantity of interest in reliabilty problems.

gibbsposterior

initiation-ml

jupyter2slides

Cloud Native Presentation Slides with Jupyter Notebook + Reveal.js

lectures-labs

Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay

ml-tools

Personal library with tools for data mining, data viz and models.

nsga2

Multi Objective Optimisation with Paralell tools

predictive_imputer

Predictive imputation of missing values with sklearn interface. This is a simple implementation of the idea presented in the MissForest R package.

pyquantregforest

This package aims to compute conditional quantiles using random regression forests from the scikit-learn library.

python-packaging

rfgo

Random Forest Global Optimization

scikit-learn

scikit-learn: machine learning in Python

scikit-optimize

Sequential model-based optimization with a `scipy.optimize` interface

sklearn_pandas_intro

Introduction to Scikit-Learn and Pandas

solution-challenge-jds18

The winning solution established for the 2018 challenge of the JDS conference.

tp-python-upmc