GPU Accelerated t-SNE for CUDA with Python bindings
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Updated
Jul 22, 2026 - Cuda
GPU Accelerated t-SNE for CUDA with Python bindings
Galaxy Engine is a fully interactive particle physics engine. Play with tens or hundreds of thousands of particles in real time
A small but powerful nbody gravity simulator with a built-in renderer
Parallel Barnes-Hut t-SNE implementation written in Rust.
Header-only FMM implementation written in C99.
a real-time N-body simulation with the Barnes-Hut algorithm and CUDA
An advanced orbital dynamics and n-body simulation program.
N-body codes: one multi-threaded following the costzones method, one distributed following the hashed octree method. An OpenGL visualization tool is also provided.
OpenMP version of Lonestar benchmarks
Efficient n-body simulation using the barnes-hut algorithm
WebVR n-body galaxy simulation using Barnes-Hut Tree and AFrame powered by WebGL
PLAN: PLanetesimal ANalyzer
A parallel Barnes Hut package for Julia.
CPU-based Barnes-Hut Gravity simulator written in Rust using the Bevy game engine.
Python and C++ implementation of a Barnes-Hut gravity simulation, using Runge-Kutta integration methods.
Simulation of gravitationally attracted stars.
Parallel N-Body Simulator: 2D Simulations of dynamical systems of particles are often used in physics to predict behavior of planets, stars, galaxies, gas particles... The interaction between particles is described by physically sound equations and ”integrated” in time to predict the outcome of the simulation.
Implementation of t-SNE and Barnes-Hut-SNE algorithm. Comparison of algorithm implementation with sklearn library implementation on sample databases.
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