Stars
Distributed compiler with a central scheduler to share build load
KEEL: Knowledge Extraction based on Evolutionary Learning
Domain specific language for configuration spaces in Python. Useful for hyperparameter optimization and algorithm configuration.
Materials for implementing and reproducing results in the NIPS paper.
JS Search is an efficient, client-side search library for JavaScript and JSON objects
A state-of-the-art semi-supervised method for image recognition
Ladder network is a deep learning algorithm that combines supervised and unsupervised learning
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Python Von Mises Kernel Density Estimator implementation
A curated list of awesome Machine Learning frameworks, libraries and software.
OpenML's Python API for a World of Data and More π«
π documentation for modern JavaScript
π Blazing fast neuro-evolution & backpropagation for the browser and Node.js
A WordPress plugin that implements an easy way to create fake data inside WordPress.
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Automated Machine Learning with scikit-learn
Renders TeXy Math for Github Readme - No longer needed with official MathTex support on GH
The Select Component for React.js