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This paper proposes a non-intrusive, declarative, dynamic and transparent system called `HiQ` to track Python program runtime information without compromising on the run-time system performance and losing insight. HiQ can be used for…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-04-27 Fuheng Wu , Ivan Davchev , Jun Qian

We present apricot, an open source Python package for selecting representative subsets from large data sets using submodular optimization. The package implements an efficient greedy selection algorithm that offers strong theoretical…

Machine Learning · Computer Science 2019-06-11 Jacob Schreiber , Jeffrey Bilmes , William Stafford Noble

The increasing importance of Computational Science and Engineering has highlighted the need for high-quality scientific software. However, research software development is often hindered by limited funding, time, staffing, and technical…

Software Engineering · Computer Science 2025-03-10 Armin Ariamajd , Raquel López-Ríos de Castro , Andrea Volkamer

This document contains the mathematical introduction to RORPack - a Python software library for robust output tracking and disturbance rejection for linear PDE systems. The RORPack library is open-source and freely available at…

Optimization and Control · Mathematics 2019-02-27 Lassi Paunonen

HyperNetX (HNX) is an open source Python library for the analysis and visualization of complex network data modeled as hypergraphs. Initially released in 2019, HNX facilitates exploratory data analysis of complex networks using algebraic…

Mathematical Software · Computer Science 2023-10-19 Brenda Praggastis , Sinan Aksoy , Dustin Arendt , Mark Bonicillo , Cliff Joslyn , Emilie Purvine , Madelyn Shapiro , Ji Young Yun

LiDAR panoptic segmentation is a newly proposed technical task for autonomous driving. In contrast to popular end-to-end deep learning solutions, we propose a hybrid method with an existing semantic segmentation network to extract semantic…

Computer Vision and Pattern Recognition · Computer Science 2021-08-24 Yiming Zhao , Xiao Zhang , Xinming Huang

PyOD is an open-source Python toolbox for performing scalable outlier detection on multivariate data. Uniquely, it provides access to a wide range of outlier detection algorithms, including established outlier ensembles and more recent…

Machine Learning · Computer Science 2019-06-12 Yue Zhao , Zain Nasrullah , Zheng Li

The democratization of Data Mining has been widely successful thanks in part to powerful and easy-to-use Machine Learning libraries. These libraries have been particularly tailored to tackle Supervised Learning. However, strong supervision…

Machine Learning · Computer Science 2023-08-21 Pierre Nodet , Vincent Lemaire , Alexis Bondu , Antoine Cornuéjols

We present DeepAL, a Python library that implements several common strategies for active learning, with a particular emphasis on deep active learning. DeepAL provides a simple and unified framework based on PyTorch that allows users to…

Machine Learning · Computer Science 2021-12-01 Kuan-Hao Huang

We present Trieste, an open-source Python package for Bayesian optimization and active learning benefiting from the scalability and efficiency of TensorFlow. Our library enables the plug-and-play of popular TensorFlow-based models within…

Hierarchical clustering is one of the most powerful solutions to the problem of clustering, on the grounds that it performs a multi scale organization of the data. In recent years, research on hierarchical clustering methods has attracted…

Machine Learning · Computer Science 2019-08-02 Antonia Korba

This paper presents `chipfiring`, a comprehensive Python package for the mathematical analysis of chip-firing games on finite graphs. The package provides a robust toolkit for defining graphs and chip configurations (divisors), performing…

Combinatorics · Mathematics 2025-08-05 Dhyey Dharmendrakumar Mavani , Tairan Ji , Nathan Pflueger

We present SPEAR, an open-source python library for data programming with semi supervision. The package implements several recent data programming approaches including facility to programmatically label and build training data. SPEAR…

We face a need of discovering a pattern in locations of a great number of points in a high-dimensional space. Goal is to group the close points together. We are interested in a hierarchical structure, like a B-tree. B-Trees are…

Data Structures and Algorithms · Computer Science 2016-07-19 Victor Sadikov , Oliver Rutishauser

HYPERTILING is a high-performance Python library for the generation and visualization of regular hyperbolic lattices embedded in the Poincar\'e disk model. Using highly optimized, efficient algorithms, hyperbolic tilings with millions of…

Computational Physics · Physics 2024-06-27 Manuel Schrauth , Yanick Thurn , Florian Goth , Jefferson S. E. Portela , Dietmar Herdt , Felix Dusel

The AMIDST Toolbox is a software for scalable probabilistic machine learning with a spe- cial focus on (massive) streaming data. The toolbox supports a flexible modeling language based on probabilistic graphical models with latent variables…

Determining the best partition for a dataset can be a challenging task because of 1) the lack of a priori information within an unsupervised learning framework; and 2) the absence of a unique clustering validation approach to evaluate…

Machine Learning · Computer Science 2021-04-06 Isotta Landi , Veronica Mandelli , Michael V. Lombardo

In this paper, we present a new R package COREclust dedicated to the detection of representative variables in high dimensional spaces with a potentially limited number of observations. Variable sets detection is based on an original graph…

Mathematical Software · Computer Science 2018-05-28 Camille Champion , Anne-Claire Brunet , Jean-Michel Loubes , Laurent Risser

Data visualizations can reveal trends and patterns that are not otherwise obvious from the raw data or summary statistics. While visualizing low-dimensional data is relatively straightforward (for example, plotting the change in a variable…

Other Statistics · Statistics 2017-01-31 Andrew C. Heusser , Kirsten Ziman , Lucy L. W. Owen , Jeremy R. Manning

We introduce milearn, a Python package for multi-instance learning (MIL) that follows the familiar scikit-learn fit/predict interface while providing a unified framework for both classical and neural-network-based MIL algorithms for…

Machine Learning · Computer Science 2025-12-02 Dmitry Zankov , Pavlo Polishchuk , Michal Sobieraj , Mario Barbatti