Search Results for "large eddy simulation"
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Showing 210 open source projects for "large eddy simulation"
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VIPER
AI-powered red team platform for adversary simulation toolkit
Viper is a comprehensive red teaming and adversary simulation platform designed to support cybersecurity professionals in conducting advanced security assessments. It integrates a wide range of tools and capabilities required for penetration testing, post-exploitation, and attack simulation workflows into a unified environment. Viper emphasizes ease of use through a graphical interface, allowing users to manage complex operations without relying solely on command-line tools. ... -
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Qulacs
Variational Quantum Circuit Simulator for Quantum Computation Research
Variational Quantum Circuit Simulator for Quantum Computation Research. Qulacs is a Python/C++ library for fast simulation of large, noisy, or parametric quantum circuits. Qulacs is developed at QunaSys, Osaka University, NTT, and Fujitsu. -
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MiroFish
A Simple and Universal Swarm Intelligence Engine
MiroFish is a next-generation artificial intelligence prediction engine that leverages multi-agent technology and swarm-intelligence simulation to model, simulate, and forecast complex real-world scenarios. The system extracts “seed” information from sources such as breaking news, policy documents, and market signals to construct a high-fidelity digital parallel world populated by thousands of virtual agents with independent memory and behavior rules. Users can inject variables or conditions... -
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GrimAC
Fully async, multithreaded, predictive, open source, 3.01 reach
...The software is designed to operate asynchronously and with multithreaded processing, allowing servers to maintain high performance even when monitoring large numbers of players simultaneously. Grim supports a wide range of Minecraft versions and can integrate with server platforms used in competitive or large multiplayer environments. -
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LAMMPS
Public development project of the LAMMPS MD software package
LAMMPS is a large-scale classical molecular dynamics simulator for modeling atoms, molecules, coarse-grained particles, and other particle-based systems. It is designed for high-performance computing and can run efficiently on desktops, clusters, and supercomputers. The software is widely used in materials science, chemistry, physics, nanotechnology, soft matter, and computational engineering. -
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GHDL
VHDL 2008/93/87 simulator
...GHDL is not an interpreter: it allows you to analyze and elaborate sources for generating machine code from your design. Native program execution is the only way for high-speed simulation. Full support for the 1987, 1993, 2002 versions of the IEEE 1076 VHDL standard, and partial for the 2008 and 2019 revisions. By using a code generator (LLVM, GCC or, x86_64/i386 only, a built-in one), it is much faster than any interpreted simulator. It can handle very large designs, such as leon3/grlib. GHDL runs on GNU/Linux, Windows and macOS; on x86, x86_64, armv6/armv7/aarch32, aarch64 and ppc64. ... -
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PowerSimulations.jl
Julia for optimization simulation and modeling of PowerSystems
PowerSimulations.jl is a Julia package for power system modeling and simulation of Power Systems operations. Provide a flexible modeling framework that can accommodate problems of different complexity and at different time scales. Streamline the construction of large-scale optimization problems to avoid repetition of work when adding/modifying model details. Exploit Julia's capabilities to improve computational performance of large-scale power system quasi-static simulations. ... -
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HOOMD-blue
Molecular dynamics and Monte Carlo soft matter simulation on GPUs
...HOOMD-blue supports efficient parallel execution and has been used for large-scale GPU-based simulations. Its main value is combining a flexible Python user experience with strong GPU performance for modern particle simulation research. -
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Simulation of Urban MObility
SUMO is a microscopic, multi-modal traffic simulation.
SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation. The code and the issue tracker can be found at https://github.com/eclipse-sumo/sumo/ The documentation can be found at https://sumo.dlr.de/docs/ -
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Permafrost Engine
An OpenGL RTS game engine written in C
...It uses a programmable pipeline with features like skeletal animation with GPU skinning, Phong lighting, bump mapping, terrain texture splatting, water rendering with reflection and refraction, and skyboxes. The engine is tailored specifically for large-scale RTS gameplay, supporting huge maps, efficient batched rendering, hierarchical flow-field pathfinding, formation movement, boids-style steering behaviors, and GPU-accelerated crowd simulation. It integrates tightly with Python 2.7 for scripting, exposing engine internals to Python and even allowing serialization and restoration of the entire Python interpreter state for robust save/load systems. -
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GROMACS
Public/backup repository of the GROMACS molecular simulation toolkit
GROMACS is a molecular simulation toolkit focused on high-performance molecular dynamics. It is widely used for biomolecular systems such as proteins, lipids, nucleic acids, solvents, and ligand interactions. The software is optimized for speed and supports modern CPU and GPU acceleration for large and demanding simulations. It includes tools for system preparation, running simulations, trajectory processing, analysis, and workflow automation. -
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CosmoScout VR
Virtual universe which lets you explore & analyze planetary datasets
A virtual universe which lets you explore, analyze and present huge planetary datasets and large simulation data in real-time. CosmoScout VR is a modular virtual universe developed at the German Aerospace Center (DLR). It lets you explore, analyze and present huge planetary data sets and large simulation data in real-time. The software can be built on Linux (gcc or clang) and Windows (msvc). Nearly all dependencies are included as git submodules, please refer to the documentation in order to get started. ... -
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Humanoid-Gym
Reinforcement Learning for Humanoid Robot with Zero-Shot Sim2Real
Humanoid-Gym is a reinforcement learning framework designed to train locomotion and control policies for humanoid robots using high-performance simulation environments. The system is built on top of NVIDIA Isaac Gym, which allows large-scale parallel simulation of robotic environments directly on GPU hardware. Its primary goal is to enable efficient training of humanoid robots in simulation while enabling policies to transfer effectively to real-world hardware without additional training. ... -
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Smilei
Particle-in-cell code for plasma simulation
...It uses a C++ core with Python-based input and post-processing workflows, making simulations both performant and configurable. Its main value is giving plasma researchers a collaborative, extensible, and high-performance PIC platform for large-scale kinetic simulations. -
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Brax
Massively parallel rigidbody physics simulation
Brax is a fast and fully differentiable physics engine for large-scale rigid body simulations, built on JAX. It is designed for research in reinforcement learning and robotics, enabling efficient simulations and gradient-based optimization. -
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HYPRE
Parallel solvers for sparse linear systems featuring multigrid methods
Livermore’s HYPRE library of linear solvers makes possible larger, more detailed simulations by solving problems faster than traditional methods at large scales. It offers a comprehensive suite of scalable solvers for large-scale scientific simulation, featuring parallel multigrid methods for both structured and unstructured grid problems. The HYPRE library is highly portable and supports a number of languages. Work on HYPRE began in the late 1990s. It has since been used by research institutions and private companies to simulate groundwater flow, magnetic fusion energy plasmas in tokamaks and stellarators, blood flow through the heart, fluid flow in steam generators for nuclear power plants, and pumping activity in oil reservoirs, to name just a few areas. ... -
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PowerSimulationsDynamics.jl
Julia package to run Dynamic Power System simulations
PowerSimulationsDynamics.jl is a Julia package for power system modeling and simulation of Power Systems dynamics. -
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AzerothCore
Complete Open Source and Modular solution for MMO
...The framework is also used as an educational resource for understanding how large-scale online game servers are structured and maintained. It includes tools for managing server configuration, content scripting, and database operations. -
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NAEV
Naev is a 2d action/rpg space game, action, rpg and simulation
Naev is a game about space exploration, trade, and combat. Players travel the galaxy and earn money by trading, fighting and performing missions. You pilot a space ship from a top-down perspective and are more or less free to do what you want. As the genre name implies, you’re able to trade and engage in combat at will. Beyond that, there’s an ever-growing number of storyline missions, equipment, and ships; Even the galaxy itself grows larger with each release. For the literarily-inclined,... -
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WeClone
One-stop solution for creating your digital avatar from chat history
WeClone is an open source AI project designed to replicate a person’s conversational style and personality by training models on chat history data. The system analyzes message patterns, linguistic style, and contextual behavior in order to generate responses that resemble the original user’s communication style. It is intended primarily as an experimental exploration of digital personality modeling and conversational AI personalization. By processing large volumes of conversation data,... -
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VectorizedMultiAgentSimulator (VMAS)
VMAS is a vectorized differentiable simulator
VectorizedMultiAgentSimulator is a high-performance, vectorized simulator for multi-agent systems, focusing on large-scale agent interactions in shared environments. It is designed for research in multi-agent reinforcement learning, robotics, and autonomous systems where thousands of agents need to be simulated efficiently. -
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The ARCHModels Package for Julia
A Julia package for estimating ARMA-GARCH models
ARCH (Autoregressive Conditional Heteroskedasticity) models are a class of models designed to capture a feature of financial returns data known as volatility clustering, i.e., the fact that large (in absolute value) returns tend to cluster together, such as during periods of financial turmoil, which then alternate with relatively calmer periods. This package provides efficient routines for simulating, estimating, and testing a variety of GARCH models. ARCH (Autoregressive Conditional... -
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OpenVDB
Sparse volume data structure and tools
...It was originally developed by DreamWorks Animation for volumetric work in feature film production. The project centers on a hierarchical data structure that keeps large empty regions efficient while still supporting detailed volume information. It includes tools for creating, editing, transforming, filtering, rendering, and exchanging volume data. The repository also includes related components such as OpenVDB AX, NanoVDB, command-line tools, and integrations for production workflows. Because it is maintained under the Academy Software Foundation, it is especially relevant for visual effects, animation, simulation, rendering, and technical graphics pipelines. -
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HASH
The best way to use and work with blocks
This is HASH's public monorepo which contains our public code, docs, and other key resources. HASH is a platform for decision-making, which helps you integrate, understand and use data in a variety of different ways. HASH does this by combining various different powerful tools together into one simple interface. These range from data pipelines and a graph database, through to an all-in-one workspace, no-code tool builder, and agent-based simulation engine. These exist at varying stages of... -
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Gatling
Modern Load Testing as Code
Gatling is a high-performance load testing tool built on the JVM that emphasizes realism, scalability, and developer ergonomics. Test scenarios are scripted in a concise Scala-based DSL, allowing you to model user journeys with think times, feeders (dynamic data), checks, and assertions all in code. Its asynchronous, non-blocking engine (backed by Netty) can drive very high concurrency from a single injector, reducing the need for large injector farms. Gatling supports HTTP out of the box as...
