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This study introduces amangkurat, an open-source Python library designed for the robust numerical simulation of relativistic scalar field dynamics governed by the nonlinear Klein-Gordon equation in $(1+1)$D spacetime. The software…

Pattern Formation and Solitons · Physics 2025-12-30 Sandy H. S. Herho , Siti N. Kaban

PhyloFrame is a Python library for phylogenetic computation targeting the gap between specialist, compiler-optimized operations and flexible, script-based workflows -- with emphasis on fast, memory-efficient operations for very large tree…

Populations and Evolution · Quantitative Biology 2026-05-28 Matthew Andres Moreno , Jeet Sukumaran , Luis Zaman , Emily Dolson

The generative AI technology offers an increasing variety of tools for generating entirely synthetic images that are increasingly indistinguishable from real ones. Unlike methods that alter portions of an image, the creation of completely…

Computer Vision and Pattern Recognition · Computer Science 2024-04-30 Manos Schinas , Symeon Papadopoulos

This article presents an open-source Python package for simulating micro-thermoelectric generators, based on the work by D. Beretta et al. (Sustainable Energy Fuels, 2017). Featuring a user-friendly graphical user interface and robust…

Mesoscale and Nanoscale Physics · Physics 2025-10-21 D. Beretta

pySLAM is an open-source Python framework for Visual SLAM that supports monocular, stereo, and RGB-D camera inputs. It offers a flexible and modular interface, integrating a broad range of both classical and learning-based local features.…

Robotics · Computer Science 2025-08-05 Luigi Freda

We present PrismSSL, a Python library that unifies state-of-the-art self-supervised learning (SSL) methods across audio, vision, graphs, and cross-modal settings in a single, modular codebase. The goal of the demo is to show how researchers…

Machine Learning · Computer Science 2025-11-25 Melika Shirian , Kianoosh Vadaei , Kian Majlessi , Audrina Ebrahimi , Arshia Hemmat , Peyman Adibi , Hossein Karshenas

Understanding the dynamics of naturally fractured systems and fractured reservoirs in terms of flow, heat transport and fracture stability (e.g. induced seismicity) is important for a range of applications associated with waste water…

Computational Physics · Physics 2018-06-29 Gunnar Jansen , Benoît Valley , Stephen A. Miller

As deep learning models scale, sparse computation and specialized dataflow hardware have emerged as powerful solutions to address efficiency. We propose FuseFlow, a compiler that converts sparse machine learning models written in PyTorch to…

Machine Learning · Computer Science 2026-01-27 Rubens Lacouture , Nathan Zhang , Ritvik Sharma , Marco Siracusa , Fredrik Kjolstad , Kunle Olukotun , Olivia Hsu

The PyProcar Python package plots the band structure and the Fermi surface as a function of site and/or s,p,d,f - projected wavefunctions obtained for each $k$-point in the Brillouin zone and band in an electronic structure calculation.…

Materials Science · Physics 2019-12-23 Uthpala Herath , Pedram Tavadze , Xu He , Eric Bousquet , Sobhit Singh , Francisco Muñoz , Aldo H. Romero

We introduce rd-spiral, an open-source Python library for simulating 2D reaction-diffusion systems using pseudo-spectral methods. The framework combines FFT-based spatial discretization with adaptive Dormand-Prince time integration,…

Pattern Formation and Solitons · Physics 2025-06-26 Sandy H. S. Herho , Iwan P. Anwar , Rusmawan Suwarman

Integrated information theory provides a mathematical framework to fully characterize the cause-effect structure of a physical system. Here, we introduce PyPhi, a Python software package that implements this framework for causal analysis…

Neurons and Cognition · Quantitative Biology 2018-08-16 William G. P. Mayner , William Marshall , Larissa Albantakis , Graham Findlay , Robert Marchman , Giulio Tononi

Modern Python projects execute computational functions using native libraries and give Python interfaces to boost execution speed; hence, testing these libraries becomes critical to the project's robustness. One challenge is that existing…

Software Engineering · Computer Science 2022-06-29 Xin Zhang , Xutong Ma , Jiwen Yan , Baoquan Cui , Jun Yan , Jian Zhang

Scanning transmission electron microscopy (STEM) allows for imaging, diffraction, and spectroscopy of materials on length scales ranging from microns to atoms. By using a high-speed, direct electron detector, it is now possible to record a…

pynucastro is a python library that provides visualization and analyze techniques to classify, construct, and evaluate nuclear reaction rates and networks. It provides tools that allow users to determine the importance of each rate in the…

Pore-scale simulations accurately describe transport properties of fluids in the subsurface. These simulations enhance our understanding of applications such as assessing hydrogen storage efficiency and forecasting CO$_2$ sequestration…

Graph domain adaptation has emerged as a promising approach to facilitate knowledge transfer across different domains. Recently, numerous models have been proposed to enhance their generalization capabilities in this field. However, there…

Machine Learning · Computer Science 2025-03-14 Zhen Zhang , Meihan Liu , Bingsheng He

Nowadays the analysis of dynamics of and on networks represents a hot topic in the Social Network Analysis playground. To support students, teachers, developers and researchers in this work we introduce a novel framework, namely NDlib, an…

Social and Information Networks · Computer Science 2018-01-19 Giulio Rossetti , Letizia Milli , Salvatore Rinzivillo , Alina Sirbu , Fosca Giannotti , Dino Pedreschi

ResFrac is a combined hydraulic fracturing, reservoir, and hydraulic fracturing simulator. It describes multiphase fluid flow (black oil or compositional), proppant transport, transport of non-Newtonian fluid additives, and thermal…

We find ourselves on the brink of an exciting era in observational astrophysics, driven by groundbreaking facilities like JWST, Euclid, Rubin, Roman, SKA, or ELT. Simultaneously, computational astrophysics has shown significant strides,…

The growing popularity of generative flow networks (GFlowNets or GFNs) from a range of researchers with diverse backgrounds and areas of expertise necessitates a library that facilitates the testing of new features (e.g., training losses…

Machine Learning · Computer Science 2026-03-23 Joseph D. Viviano , Omar G. Younis , Sanghyeok Choi , Victor Schmidt , Yoshua Bengio , Salem Lahlou
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