Discover amueller/pydata-nyc-advanced-sklearn Open Source project

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

10,101

introduction_to_ml_with_python

Scikit-Learn tutorial material for Scipy 2015

7,348

scipy_2015_sklearn_tutorial

Scikit-learn tutorial at SciPy2016

578

scipy-2016-sklearn

Introduction to Machine learning with Python, 4h interactive workshop

515

ml-workshop-1-of-4

COMS W4995 Applied Machine Learning - Spring 19

303

COMS4995-s19

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

303

scipy-2017-sklearn

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

283

scipy-2018-sklearn

COMS W4995 Applied Machine Learning - Spring 20

246

COMS4995-s20

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

245

mglearn

Materials for the "Introduction to Machine Learning" class

229

ml-training-intro

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

227

ml-training-advanced

Advanced Machine Learning with Scikit-learn part II

163

ml-workshop-4-of-4

COMS W4995 Applied Machine Learning - Spring 18

162

COMS4995-s18

Kaggle Submission for "Detecting Insults in Social Commentary"

158

kaggle_insults

Advanced Machine Learning with Scikit-learn part I

153

ml-workshop-3-of-4

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

139

gco_python

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

131

ml-workshop-2-of-4

Advanced Scikit-learn training session

125

advanced_training

Deprecation tools for Python

120

futurepast

Slides and materials for most of my talks by year

118

talks_odt

Website and material for the FIXME course on Practical Machine Learning

applied_ml_spring_2017

Slides and material for open data science

odscon-2015

odscon-sf-2015

Material for ODSCON San Francisco 2015

Applied Machine Learning with Python

aml

One hour interactive training for ML with scikit-learn

quick-ml-intro

Slides for quick intro to machine learning with sklearn

sklearn_tutorial

CSS

sklearn-one-day

One day workshop for machine learning with scikit-learn

Superpixel based semantic segmentation

segmentation

IPython notebooks and data an interactive scikit-learn tutorial.

scikit-learn-interactive-tutorial

pydata-strata-2015

Slides and notebooks for PyData Strata San Jose

patsylearn

Patsy Adaptors for Scikit-learn

Advanced git and github course material

advanced_git_nyu_2016

Texton boost implementation in C++ by Philipp Kraehenbuehl

textonboost

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

pydata-amsterdam-2016

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

ml_meetup_nyc_2016

odsc_east_2016

Speed reading app with running focus

speed_reading

CSS

slic-python

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

Two hour interactive machine learning workshop

ml-workshop-short

Material for open source machine learning practical

mlss_2015

Material for Data analysis and machine learning in Jupyter

jupytercon2017

Introduction to structured prediction with Python and pystruct

structured-prediction-workshop

Information Theoretic Clustering using Minimum Spanning Trees

information-theoretic-mst

Material and slides for Boston NLP meetup May 23rd 2016

advanced-sklearn-boston-nlp-2016

Materials for NYU Machine Learning Guest Lectures

nyu_ml_lectures

Python class to explore the ImageNet database

amueller.github.io

Less

ImageNet-parsing-Python

Water Hackweek Machine Learning workshop

water_hackweek_2020_machine_learning

Materials fort Strata NYC 2016 scikit-learn tutorial

strata-nyc-2016

Python and matlab bindings for the Damascene CUDA implementation of gPB

damascene-python-and-matlab-bindings

Material for git workshop

git_workshop

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

strata_singapore_2015

Jupyter notebooks for interactive scikit-learn workshop

sklearn_workshop

Curriculum Vitae

Datasets of some standard computer vision / deep learning benchmarks

datasets

Python bindings for Brian Fultersons really quick shift

GPU-Quickshift-Python-Bindings

Slides for explaining structured prediction and PyStruct

structured_prediction_talk

Open Source Directions webinar materials

oss-directions-webinar-2019

Introduction to machine learning for CUNY

intro_to_ml_cuny_2015

columbia-website

My official columbia page

CSS

phd-thesis-segmentation

unearthing my thesis - this is a backup

Some figures and drawings for talks

figures

daimrf

Python interface for inference with LibDAI

stand-alone nsf biosketch

notebooks

Random notebooks

vim-config

Vim Script

nsf-biosketch

Demo repository for oss workshop

oss_workshop

dask-learn

CZI-sklearn

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

gah

dotfiles

Another try to manage my dotfiles

Shell

icra_2014_crf_nyu

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