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Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
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.
Helpers for constructing scikit-learn grid search
A kernel to support Python dataflows in the Jupyter Notebook environment
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+.
Sequential model-based optimization with a `scipy.optimize` interface
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
The Levenshtein Python C extension module contains functions for fast computation of Levenshtein distance and string similarity
Lightweight library to build and train neural networks in Theano
SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
Block-Coordinate Frank-Wolfe Optimization for Structural SVMs
A Tutorial on Simple Machine Learning Methods Held for the Graduate School on Bionics, 2012