mengjing120 Goto Github PK
Type: User
Type: User
A trace map comparison algorithm for the discrete fracture network models of rock masses
Packed Bed Generator
C++ library for multi-physics simulation
This is a very fast implementation of collision detection among axis aligned cuboids. Mainly used for robotic simulation, and can detect each collision in about constant time, even with multiple objects. It has an option of pre-hashing of the arena set or to dynamically check for collisions. Uses a modified version of GJK Algorithm.
Simulation kit for Complex Fluid Solid Soil Mechanics
A lightweight conic solver for second-order cone programming.
A 2D Finite-Volume CFD Code in Matlab and C++
GMTSAR
High performance simulation for robotic tasks with granular materials
Coupling between the Lattice-Boltzmann code Palabos and the DEM code LIGGGHTS
A simple, three-dimensional lattice-Boltzmann code written in C
Model of foot collision during landing
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Implementation of the GJK collision detection algorithm in MATLAB.
A basic wrapper for using Bullet Physics Engine in Matlab. Uses Java port of Bullet.
Miami InSAR time-series software in Python
particles colliding in space for modern field theory course
Fast and reliable implementation of the Gilbert-Johnson-Keerthi (GJK) algorithm for C, C# and Matlab
A fork of OpenSees
Particle-based Simulation
particles_collision_simulation
This research project focuses on the development of the pe physics engine. pe is an advanced C++ framework for the simulation of rigid, completely undeformable bodies with arbitrary shape. pe offers both collision solvers for physically accurate simulations as well as fast solvers suitable for computer games. The major focus of pe are large-scale and massively parallel rigid body simulations with up to several billion interacting rigid bodies. The currently largest simulation with 28 billion non-spherical bodies was performed on the SuperMUC Petascale System at the Leibniz Supercomputing Center on 262144 processor cores.
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
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.