Pinned Repositories
COMS4995-s19
COMS W4995 Applied Machine Learning - Spring 19
introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
ml-workshop-1-of-4
Introduction to Machine learning with Python, 4h interactive workshop
ml-workshop-2-of-4
Intermediate Machine Learning with Scikit-learn, 4h interactive workshop
ml-workshop-3-of-4
Advanced Machine Learning with Scikit-learn part I
ml-workshop-4-of-4
Advanced Machine Learning with Scikit-learn part II
scipy-2016-sklearn
Scikit-learn tutorial at SciPy2016
scipy_2015_sklearn_tutorial
Scikit-Learn tutorial material for Scipy 2015
talks_odt
Slides and materials for most of my talks by year
word_cloud
A little word cloud generator in Python
amueller's Repositories
amueller/word_cloud
A little word cloud generator in Python
amueller/introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
amueller/COMS4995-s20
COMS W4995 Applied Machine Learning - Spring 20
amueller/mglearn
mglearn helper package for "Introduction to Machine Learning with Python"
amueller/dabl
Data Analysis Baseline Library
amueller/ml-workshop-2-of-4
Intermediate Machine Learning with Scikit-learn, 4h interactive workshop
amueller/odscon-2015
Slides and material for open data science
amueller/talks_odt
Slides and materials for most of my talks by year
amueller/aml
Applied Machine Learning with Python
amueller/sklearn-one-day
One day workshop for machine learning with scikit-learn
amueller/scikit-learn
scikit-learn main repo
amueller/amueller.github.io
amueller/keras
Deep Learning for humans
amueller/MLOS
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.
amueller/matplotlib
matplotlib: plotting with Python
amueller/CDM
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.
amueller/mothernet
Mothernet: A Foundational Hypernetwork for Tabular Classification
amueller/seaborn
Statistical data visualization using matplotlib
amueller/syne-tune
Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
amueller/sphinx-gallery
Sphinx extension for automatic generation of an example gallery
amueller/TabPFN
Official implementation of the TabPFN and the tabpfn package.
amueller/TSB-AD
TSB-AD: Towards A Reliable Time-Series Anomaly Detection Benchmark
amueller/dataexplorer-docs
Azure Data Explorer
amueller/developing-extensions-tutorial
amueller/enhancement_proposals
Enhancement proposals for scikit-learn: structured discussions and rational for large additions and modifications
amueller/HyperFast
amueller/jupyterlab
JupyterLab computational environment.
amueller/jupyterlite-sphinx
Sphinx extension using JupyterLite to render Notebooks
amueller/mlflow
Open source platform for the machine learning lifecycle
amueller/tabzilla