141 skills found · Page 1 of 5
davideberly / GeometricToolsA collection of source code for computing in the fields of mathematics, geometry, graphics, image analysis and physics.
peterdsharpe / NeuralFoilNeuralFoil is a practical airfoil aerodynamics analysis tool using physics-informed machine learning, exposed to end-users in pure Python/NumPy.
OpenSourcePhysics / TrackerVideo analysis and modeling tool built on the Open Source Physics framework
Alpine-DAV / AscentA flyweight in situ visualization and analysis runtime for multi-physics HPC simulations
spedas / PyspedasPython-based Space Physics Environment Data Analysis Software
jrkerns / PylinacAn image analysis library for medical physics
scikit-hep / Scikit HepMetapackage of Scikit-HEP project data analysis packages for Particle Physics.
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HomerReid / Scuff EmA comprehensive and full-featured computational physics suite for boundary-element analysis of electromagnetic scattering, fluctuation-induced phenomena (Casimir forces and radiative heat transfer), nanophotonics, RF device engineering, electrostatics, and more. Includes a core library with C++ and python APIs as well as many command-line applications.
youichi-uda / Godot MCP Pro162 MCP tools for AI-powered Godot 4 development. Scene, animation, 3D, physics, particles, audio, shader, input simulation, runtime analysis, navigation, testing & more. $5 one-time.
tkhirianov / PydatanPython Data Analysis course materials of Timofey Khirianov (MIPT, Phystech School of Fundamental and Applied Physics).
graphnet-team / GraphnetA Deep learning library for neutrino telescopes
isaac-sim2real / SageFramework for measuring sim-to-real gaps in robot joint motions. Supports different humanoids with physics simulation, real hardware data collection, and statistical analysis.
wonmor / ElectronVisualizedPublic Archive: Beautiful and Elegant Quantum Mechanics Visualization.
DeepLearningForPhysicsResearchBook / Deep Learning PhysicsThis project contains additional material for the textbook Deep Learning for Physics Research by Martin Erdmann, Jonas Glombitza, Gregor Kasieczka, and Uwe Klemradt.
skuschel / PostpicThe open-source particle-in-cell post-processor.
ultralytics / WaveWAveform Vector Exploitation (WAVE): Machine Learning for particle physics detectors.
FairRootGroup / FairRootC++ simulation, reconstruction and analysis framework for particle physics experiments
hep-lbdl / Adversarial JetsTraining, generation, and analysis code for Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics
ncrump / ComputationalPhysicsA survey of computational physics problems in Python. Includes quantum mechanics, electrostatics, ODEs, PDEs, Monte Carlo, Fourier analysis, molecular modeling, cluster growth, genetic algorithm, dynamical systems and other fun stuff.
