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We introduce \texttt{pycobra}, a Python library devoted to ensemble learning (regression and classification) and visualisation. Its main assets are the implementation of several ensemble learning algorithms, a flexible and generic interface…

Computation · Statistics 2019-05-24 Benjamin Guedj , Bhargav Srinivasa Desikan

PyPose is an open-source library for robot learning. It combines a learning-based approach with physics-based optimization, which enables seamless end-to-end robot learning. It has been used in many tasks due to its meticulously designed…

We present the v1.0.1 release of DFormPy, the first Python library providing an interactive visualisation of differential forms. DFormPy is also capable of exterior algebra and vector calculus, building on the capabilities of NumPy and…

Symbolic Computation · Computer Science 2022-01-26 Moustafa Gharamti , Maciej Jarema , Samuel Kirwin-Jones

MimicKit is an open-source framework for training motion controllers using motion imitation and reinforcement learning. The codebase provides implementations of commonly-used motion-imitation techniques and RL algorithms. This framework is…

Graphics · Computer Science 2026-01-21 Xue Bin Peng

Spectral line observations are an indispensable tool to remotely probe the physical and chemical conditions throughout the universe. Modelling their behaviour is a computational challenge that requires dedicated software. In this paper, we…

Instrumentation and Methods for Astrophysics · Physics 2024-11-06 Thomas Ceulemans , Frederik De Ceuster , Leen Decin , Jeremy Yates

We describe a system for visualization and editing of data in a computational chemistry environment. The system is a collaborative tool allowing researchers using virtual reality and/or desktop computer displays to work together on results…

Graphics · Computer Science 2023-10-04 Dave Pape , Amin Ghadersohi , Josephine Anstey , Amit Makwana

In this paper, we present an open-source multi-resolution and multi-physics library: SPHinXsys (pronunciation: s'finksis) which is an acronym for \underline{S}moothed \underline{P}article \underline{H}ydrodynamics (SPH) for…

Computational Physics · Physics 2021-07-14 Chi Zhang , Massoud Rezavand , Yujie Zhu , Yongchuan Yu , Dong Wu , Wenbin Zhang , Jianhang Wang , Xiangyu Hu

Automatically generating formal specifications could reduce the effort needed to improve program correctness, but in practice, this is still challenging. Many developers avoid writing contracts by hand, which limits the use of automated…

Software Engineering · Computer Science 2026-04-21 Ragib Shahariar Ayon , Shibbir Ahmed

In recent years, the extraction of opinions and information from user-generated text has attracted a lot of interest, largely due to the unprecedented volume of content in Social Media. However, social researchers face some issues in…

The advent of simulation engines has revolutionized learning and operational efficiency for robots, offering cost-effective and swift pipelines. However, the lack of a universal simulation platform tailored for chemical scenarios impedes…

Robotics · Computer Science 2024-06-13 Shoujie Li , Yan Huang , Changqing Guo , Tong Wu , Jiawei Zhang , Linrui Zhang , Wenbo Ding

Scikit-multiflow is a multi-output/multi-label and stream data mining framework for the Python programming language. Conceived to serve as a platform to encourage democratization of stream learning research, it provides multiple state of…

Machine Learning · Computer Science 2020-05-18 Jacob Montiel , Jesse Read , Albert Bifet , Talel Abdessalem

Molecular simulation is a scientific tool dealing with challenges in material science and biology. This is reflected in a permanent development and enhancement of algorithms within scientific simulation packages. Here, we present…

sQUlearn introduces a user-friendly, NISQ-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine learning tools like scikit-learn. The library's dual-layer architecture serves both…

Computer algebra methods for analyzing reaction networks often rely on the assumption of mass-action kinetics, which transform the governing ODEs into polynomial systems amenable to techniques such as Gr\"obner basis computation and related…

Molecular Networks · Quantitative Biology 2025-11-19 Richard Golnik , Thomas Gatter , Peter F. Stadler , Nicola Vassena

OpenML is an online platform for open science collaboration in machine learning, used to share datasets and results of machine learning experiments. In this paper we introduce OpenML-Python, a client API for Python, opening up the OpenML…

Recent work in training large language models (LLMs) to follow natural language instructions has opened up exciting opportunities for natural language interface design. Building on the prior success of LLMs in the realm of computer-assisted…

Computation and Language · Computer Science 2022-10-26 Tuhin Chakrabarty , Vishakh Padmakumar , He He

As data are generated more and more from multiple disparate sources, multiview data sets, where each sample has features in distinct views, have ballooned in recent years. However, no comprehensive package exists that enables…

CHEMSMART (Chemistry Simulation and Modeling Automation Toolkit) is an open-source, Python-based framework designed to streamline quantum chemistry workflows for homogeneous catalysis and molecular modeling. By integrating job preparation,…

Chemical Physics · Physics 2025-08-28 Xinglong Zhang , Huiwen Tan , Jingyi Liu , Zihan Li , Lewen Wang , Benjamin W. J. Chen

Graphics design is important for various applications, including movie production and game design. To create a high-quality scene, designers usually need to spend hours in software like Blender, in which they might need to interleave and…

Computer Vision and Pattern Recognition · Computer Science 2024-08-06 Ian Huang , Guandao Yang , Leonidas Guibas

High-quality scientific illustrations are essential for communicating complex scientific and technical concepts, yet existing automated systems remain limited in editability, stylistic controllability, and efficiency. We present…

Computer Vision and Pattern Recognition · Computer Science 2026-03-10 Zhen Lin , Qiujie Xie , Minjun Zhu , Shichen Li , Qiyao Sun , Enhao Gu , Yiran Ding , Ke Sun , Fang Guo , Panzhong Lu , Zhiyuan Ning , Yixuan Weng , Yue Zhang