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

Connect to PBI/AAS Models via Python

View flow data as Sankey diagrams

A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, …

Plots used in Ralf Gommers Talk at SciPy 2019

Anonymous Github is a proxy server to support anonymous browsing of Github repositories for open-science code and data.

Democratizing NLP!

Helpers for constructing scikit-learn grid search

A kernel to support Python dataflows in the Jupyter Notebook environment

oneAPI Data Analytics Library (oneDAL)

Declarative visualization library for Python

Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.

A library of extension and helper modules for Python's data analysis and machine learning libraries.

Notes and code for the workshop "Rule-Based Models for Regression and Classification”

Hi, I'm a library for interacting with GItHub's REST API in a convenient and ergonomic way. I work on Python 3.6+.

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

Browser extension that simplifies the GitHub interface and adds useful features

Facilitating Open Science

Simplified packaging of Python modules

Lightweight library to build and train neural networks in Theano

Deep Learning for humans

Game for learning how to code.

SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.

Sequence learning toolkit for Python

Block-Coordinate Frank-Wolfe Optimization for Structural SVMs

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

Alternating Directions Dual Decomposition

Proof of concept