Andreas Mueller

A little word cloud generator in Python

A Python library that generates word cloud images from text, sizing each word by how often it appears. Works from a Python script or the command line, and supports custom shapes, multiple languages, and color options.

Notebooks and code for the book "Introduction to Machine Learning with Python"

Scikit-Learn tutorial material for Scipy 2015

Scikit-learn tutorial at SciPy2016

Introduction to Machine learning with Python, 4h interactive workshop

COMS W4995 Applied Machine Learning - Spring 19

Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller

Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller

COMS W4995 Applied Machine Learning - Spring 20

mglearn helper package for "Introduction to Machine Learning with Python"

Materials for the "Introduction to Machine Learning" class

Materials for the "Advanced Scikit-learn" class in the afternoon

Advanced Machine Learning with Scikit-learn part II

COMS W4995 Applied Machine Learning - Spring 18

Kaggle Submission for "Detecting Insults in Social Commentary"

Advanced Machine Learning with Scikit-learn part I

Python wrappers for GCO alpha-expansion and alpha-beta-swaps

Data Analysis Baseline Library

Intermediate Machine Learning with Scikit-learn, 4h interactive workshop

Deprecation tools for Python

Advanced Scikit-learn training session

Slides and material for open data science

Slides and materials for most of my talks by year

Website and material for the FIXME course on Practical Machine Learning

Applied Machine Learning with Python

Material for ODSCON San Francisco 2015

One hour interactive training for ML with scikit-learn

Notebooks (and slides) for my PyData NYC 2014 tutorial on the more advanced features of scikit-learn.

Slides for quick intro to machine learning with sklearn

One day workshop for machine learning with scikit-learn

A Tutorial on Simple Machine Learning Methods Held for the Graduate School on Bionics, 2012

IPython notebooks and data an interactive scikit-learn tutorial.

Superpixel based semantic segmentation

Patsy Adaptors for Scikit-learn

Slides and notebooks for PyData Strata San Jose

Advanced git and github course material

Simple structured learning framework for python

Texton boost implementation in C++ by Philipp Kraehenbuehl

Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)

Material for Machine Learning Meetup "Machine Learning with Scikit-learn"

scikit-learn main repo

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Speed reading app with running focus

SLIC wrapper for Python - legacy, rather use scikit-image now!

Two hour interactive machine learning workshop

Material for Data analysis and machine learning in Jupyter

Material for open source machine learning practical

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Information Theoretic Clustering using Minimum Spanning Trees

Introduction to structured prediction with Python and pystruct

Material and slides for Boston NLP meetup May 23rd 2016

Materials for NYU Machine Learning Guest Lectures

Materials fort Strata NYC 2016 scikit-learn tutorial

Python class to explore the ImageNet database

Water Hackweek Machine Learning workshop

An open library of computer vision algorithms

Python and matlab bindings for the Damascene CUDA implementation of gPB

Material for git workshop

Curriculum Vitae

Materials for Strata Singapore "Machine learning In Python with scikit-learn" tutorial.

Jupyter notebooks for interactive scikit-learn workshop

Python bindings for Brian Fultersons really quick shift

Datasets of some standard computer vision / deep learning benchmarks

Slides for explaining structured prediction and PyStruct

Open Source Directions webinar materials

Introduction to machine learning for CUNY

My official columbia page

Deep Learning for humans

unearthing my thesis - this is a backup

matplotlib: plotting with Python

Slides and code from our TensorFlow Workshop.

A parser for Google Scholar, written in Python

Some figures and drawings for talks

A library of sklearn compatible categorical variable encoders

MLOS is a Data Science powered infrastructure and methodology to democratize and automate Performance Engineering. MLOS enables continuous, instance-based, robust, and trackable systems optimization.

Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.

Mothernet: A Foundational Hypernetwork for Tabular Classification

A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.

Using Google BigQuery to analyze and extend scikit learn

The Common Data Model (CDM) is a standard and extensible collection of schemas (entities, attributes, relationships) that represents business concepts and activities with well-defined semantics, to facilitate data interoperability. Examples of entities include: Account, Contact, Lead, Opportunity, Product, etc.

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:page_with_curl: Data Carpentry Python lessons on ecology

Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python

Data sets for machine learning in Python

Official NetworkX mirror

stand-alone nsf biosketch

Python interface for inference with LibDAI

Superpixel computation (using Levinhstein's Turbopixels) on the GPU, achieving 2-3fps on 640x480 images.

Random notebooks

Build interactive, publication-quality documents from Jupyter Notebooks

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Fast Function Extraction

Supporting code to Open Challenges in Time Series Anomaly Detection: An Industry Perspective

Official implementation of the TabPFN and the tabpfn package.

TSB-AD: Towards A Reliable Time-Series Anomaly Detection Benchmark

A conda-smithy repository for scikit-learn.

NYC scikit-learn sprint (Sep 2018)

Experimental library for sampling and validating scikit-learn parameters

Benchmark for optimizations to scikit-learn in the Intel Distribution for Python*

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Sphinx extension for automatic generation of an example gallery

Gaussian Process Optimization using GPy

The pytest framework makes it easy to write small tests, yet scales to support complex functional testing

Tools for diffing and merging of Jupyter notebooks.

Python function as pipeline jobs.

Code I don't want to keep reimplementing all the time

Jupyter Notebook Conversion

A comparison of various Robust PCA implementations

Software Carpentry introduction to Git for novices.

Software Carpentry introduction to Python for novices using inflammation data.

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The Fallacy of Placing Confidence in Confidence Intervals

A one page HTML theme for freelancers created by Start Bootstrap

ICRA 2014 paper on crfs for semantic segmenation on the nyu dataset

Image Processing SciKit (Toolbox for SciPy)

CUDA Random Forest implementation for Image Labeling tasks

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NYC WiMLDS scikit-learn open source sprint (Aug 24, 2019)

Open Machine Learning

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Experimental Gradient Boosting Machines in Python with numba.

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next generation slides for Jupyter Notebooks

Open-source implementation of AlphaEvolve

A repository for the Kramabench benchmark

Another try to manage my dotfiles

Azure Data Explorer

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Open source platform for the machine learning lifecycle

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Topic Modelling for Humans

Mirror copy of the Debian packaging of runsnakerun

Mirror copy of the Debian packaging of squaremap

Enhancement proposals for scikit-learn: structured discussions and rational for large additions and modifications

Demo repository for oss workshop

Python client for Moss: A System for Detecting Software Similarity

A Git extension for JupyterLab

A place to submit conda recipes before they become fully fledged conda-forge feedstocks

RoBO: a Robust Bayesian Optimization framework

Sequential Model-based Algorithm Configuration

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

Numpy's Sphinx extensions

vanity

A simple program which checks Python source files for errors

trying to reproduce a sphinx issue

darktable is an open source photography workflow application and raw developer

Documentation on deploying JupyterHub to a Kubernetes Cluster

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Python implementations of kNN imputation

Nautilus

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models

A Sphinx extension for linking to your project's issue tracker

Computation using data flow graphs for scalable machine learning

minimal example for bad error messages

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A Twitter bot identifying matplotlib colormaps

Package template for a project using Cython

Some js extension for IPython notebook

Jupyter Interactive Notebook

Main repository for the Sphinx documentation builder

Script to configure a cloud server to build the documentation and plots and update the sklearn website

Materials for the 2015 Astro Hack Week

Instructor training preparation, September 2015

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A template for small scientific python projects

Convert the Location History JSON File from Google Takeout into a useable format

Simple webinterface for the wordcloud code

Materials for my Pycon 2015 scikit-learn tutorial.

A responsive, flexible, Jekyll theme based on The Development's first design.

No description.

Interactive Web Plotting for Python

VisTrails is an open-source data analysis and visualization tool. It provides a comprehensive provenance infrastructure that maintains detailed history information about the steps followed and data derived in the course of an exploratory task: VisTrails maintains provenance of data products, of the computational processes that derive these products and their executions.

Remember a 3x3 m² location anywhere in the world with just four words.

A simple tool to highlight source code blocks in LibreOffice Impress.

PyData Berlin Meetup Slides: Highlights of 0.14 and 0.15

Point Cloud Library (PCL)

Sphinx extension using JupyterLite to render Notebooks

JupyterLab computational environment.

No description.

Easily import docs to your gh-pages branch.

A C++ Library for Discrete Graphical Models

Demo repository

New demo repository

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Leveraging Open Source Principles and Resources for Teaching and Learning in STEM

OpenML website and web services

The repo to fork for the exercise.

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Parameter Importance according to OpenML

Distributed and parallel machine learning

Material for Scikit-learn tutorial at RStats NYC

MutPy is a mutation testing tool for Python 3.x source code

New OpenML website

Odyssey is built to analyze python libraries usage on GitHub through Google BigQuery.

Visual analysis and diagnostic tools to facilitate machine learning model selection.

This is the implementation of Sparse Projection Oblique Randomer Forest

Python module to interface with OpenML

Sources for the JMLR webpage