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Experimental CUDA voxelizer, to convert polygon meshes to annotated voxel grids.
Particle tracker using Nvidia Cuda cores and NetCDF files from NOAA/NOS
A CUDNN minimal deep learning training code sample using LeNet.
We propose implementations of the Generalized Minimal Residual Method (GMRES) for solving linear systems based on dense, Toeplitz or mixed matrices. The software consists of a python module and a C++ library. The mixed matrices consist of the sum of the diag- onal and the Toeplitz matrices. The GMRES solver is parallelized for running on NVIDIA GPGPU accelerator. We report on the efficiency of the parallelization method applying GMRES to the Helmholtz linear system based on the use of Green’s Function Integral Equation Method (GFIEM) for computing electric field distribution in the design domain.
A C++/CUDA library to efficiently compute neighborhood information on the GPU for 3D point clouds within a fixed radius.
GPU accelerated vortex filament and vortex particle methods
Datasets-for-Heterogeneous-Graph
Isosurface Extraction/Dual Contouring using OpenGL and OpenCL
Trying spatial interpolation using DL
深度学习论文翻译,包括分类论文,检测论文等
Deep Clustering
A static C++ library for the generation of discrete functions on a box-shaped domain. This is especially suited for the generation of signed distance fields.
A GA designed to attempt to solve the "Eternity II" puzzle, a large NP-Complete combinatorial problem.
Implementation of the DHT refinement in our EuroVis paper "Extraction of Distinguished Hyperbolic Trajectories for 2D Time-Dependent Vector Field Topology"
Written in C++ using OpenGL with content and goal individualized to present full GUI and backend logic in a concise, meaningful way
Converts 3D surfaces in explicit representation to an implicit representation (based on the signed distance function)
Fast Library for Approximate Nearest Neighbors
Compute and visualize the vorticity profile for flow around a square at 50 < Re < 300 using plain C++ without any external libraries. Von Karman vortex street is present. Re stands for "Reynolds number".
Neural Networks learning to create objects with desired flow properties.
This provides an unsupervised machine learning techniques for clustering integral curves in flow visualization
Unsteady flow analytics and visualization
Parallel GPU Inverse Distance Weighting
Main GAMER repository
Generative 3D Shape Design with Autoencoders
A genetic algorithm to find optimal solutions for TSP (Travelling Salesman Problem) using the CUDA Architecture (GPU)
Maximum clique problem solver, using evolutionary algorithm
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.