S

scientific-computing

Pyralysis is a Python library for radio interferometry: visibility simulation, gridding, optimization-based image reconstruction, and analysis pipelines with Dask-friendly scaling, documented APIs, and optional cluster (SLURM) workflows. GPL-3.0.

MolecularAI is a modular AGPL-3.0+ platform for molecular intelligence, gene therapy research, nanotechnology, digital twins, autonomous scientific discovery, advanced simulation, and molecular design. Built as an extensible ecosystem, it provides researchers, engineers, and developers with open-source tools to accelerate innovation from hypothesis to breakthrough across biology, medicine, manufacturing, environmental systems, and future molecular technologies. https://roxanneardary.com/molecularai/

A flexible package manager that supports multiple versions, configurations, platforms, and compilers.

OmniScientia is a modular AI framework for scientific discovery that helps learners explore the natural world through curiosity, experimentation, and verified evidence. It combines adaptive AI tutoring, safe laboratory experiences, virtual experiment simulations, scientific source verification, and interdisciplinary learning across biology, chemistry, physics, Earth sciences, veterinary science, astronomy, and beyond. https://roxanneardary.com/omniscientia/

Turn any Python project folder into a reproducible job template that creates timestamped, isolated run directories with configurable environments and copy/link behavior.

A clean, modular implementation of Physics-Informed Neural Networks (PINNs) for solving the 1D and 2D wave equation using PyTorch.