Olivier Grisel

parallel_ml_tutorial. Tutorial on scikit-learn and IPython for parallel machine learning

notebooks. Some sample IPython notebooks for scikit-learn

pygbm. Experimental Gradient Boosting Machines in Python with numba.

pignlproc. Apache Pig utilities to build training corpora for machine learning / NLP out of public Wikipedia and DBpedia dumps.

python-appveyor-demo. Demo project for building Python wheels with appveyor.com

docker-distributed. Experimental docker-compose setup to bootstrap distributed on a docker-swarm cluster.

spylearn. Repo for experiments on pyspark and sklearn

sklearn_pycon2014. Repository containing files for my PyCon 2014 scikit-learn tutorial.

paper2ebook. Utility to re-structure research papers published in US Letter or A4 format PDF files to typically remove the 2 columns layout.

text-mining-class. Introduction to web scraping and text mining

dbpediakit. Python utilities to do work with the DBpedia dumps for analytics.

euroscipy-2022-time-series. Tutorial on time-series forcasting with scikit-learn

wheelhouse-uploader. Script to help maintain a wheelhouse folder on a cloud storage.

my-linux-devbox. Vagrant / Salt configuration with Ubuntu to work on projects related to the scipy stack under Python 3 and Python 2

oglearn. ogrisel's utility extensions for scikit-learn

eegssl. Experiments on Self-Supervised Learning on EEG data

scikit-learn. scikit-learn repo for ogrisel's work in progress contributions

mahout. Personal development repository to prepare contributions and patches for Apache Mahout

corpusmaker. clojure utilities to build training corpora for machine learning / NLP out of public wikimedia dumps: status - partially stalled - will probably be reworked as cascalog scripts -- this project is in stalled mode right now: the pignlproc project is likely to replace it due to licensing constraints for future integration in Apache projects

euroscipy_2017_sklearn. Notebooks for the EuroScipy 2017 tutorial (based on Adult Census income data)

keras. Theano-based Deep Learning library (convnets, recurrent neural networks, and more).

dlclass-pytorch. PyTorch version of my Deep Learning class

python-winbuilder. Tools to script a build environment on Windows for Python project

old-scikit-learn-tutorial. Applied Machine Learning in Python with scikit-learn

codemaker. Neural nets-based utility to build low dimensional codes or/and sparse codes

pycon-pydata-sprint. Experimental work for using IPython.parallel with scikit-learn

salt-ipcluster. Salt states and modules to setup an IPython cluster

docker-openblas. Docker container with an automated build for OpenBLAS stable branch:

stanbol-isbn. Demo stanbol extension for detecting and linking ISBN in text document

MLloWorld. Shows how to write a simple data contest entry for Kaggle, using scikit-learn for machine learning algorithms

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

scipy-2018-sklearn. Scipy 2017 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller

silva. Leaf recognition prototype

scikit-learn-github-actions. Test repo for github actions workflows

euroscipy-2019-scikit-learn-tutorial. Jupyter Notebook

cloudpickle. Cloudpickle as a standalone python library

numpy. Numpy main repository

pythinkgear. Python module thinkgear parses the ThinkGear protocol used by NeuroSky MindSet devices

bbuzz-semantic-hackathon. Sandbox for the Berlin Buzzwords semantic hackathon

joblib. Python function as pipeline jobs. THIS IS NOT THE MAIN REPO! See https://github.com/joblib/joblib

data_hacking. Click Security Data Hacking Project

research. Draft research notes, code and todos

probability. Probabilistic reasoning and statistical analysis in TensorFlow

pyrasite. Tools for injecting code into running Python processes

lightfm. A Python implementation of LightFM, a hybrid recommendation algorithm.