Stars
A library for efficient similarity search and clustering of dense vectors.
Productive, portable, and performant GPU programming in Python.
Seamless operability between C++11 and Python
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
Fit interpretable models. Explain blackbox machine learning.
BanditPAM C++ implementation and Python package
Combining tree-boosting with Gaussian process and mixed effects models
The Graph-Cut RANSAC algorithm proposed in paper: Daniel Barath and Jiri Matas; Graph-Cut RANSAC, Conference on Computer Vision and Pattern Recognition, 2018. It is available at http://openaccess.t…
The Fast Downward domain-independent classical planning system
Fast and lightweight header-only C++ library (with Python bindings) for approximate nearest neighbor search
Fast, high-quality forecasts on relational and multivariate time-series data powered by new feature learning algorithms and automated ML.
Python3 binding to mRMR Feature Selection algorithm (currently not maintained)
Entropy rate superpixel segmentation source code
Generalized Optimal Sparse Decision Trees
High-performance Non-negative Matrix Factorizations (NMF) - Python/C++
Konclude: A parallel, tableau-based, high-performance reasoner for the Description Logic SROIQV(D)/the Web Ontology Language (OWL) 2 DL
Code and supplementary material from the KDD 2016 paper "Skinny-dip: Clustering in a sea of noise" by Samuel Maurus and Claudia Plant.
S2DL: A Superpixel-based and Spatially-regularized Diffusion Learning Method for Unsupervised Hyperspectral Image Clustering
Bayesian mOdeling Of Spatial Transcriptomics via Gaussian Process