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Convolutional AutoEncoder application on MRI images
Various 3D autoencoders implemented for comparison of how they perform with regard to linear interpolation.
A bottom-up adaptation of the minimalist divide-and-conquer algorithm for 3D convex hulls using OpenCL.
Paper Title:"Bypassing or flying above the obstacles? A novel multi-objective UAV path planning problem" These datasets are different in environment size, the number of obstacles, start location, and destination. The obstacles are randomly placed in the area.
3D Keypoint Detection Based on Deep Neural Network with Sparse Autoencoder
A resource repository for 3D machine learning
Autoencoder for reconstructing brain magnetic resonance images.
A 3D flow visualization tool based on Runge-Kutta 4 (RK4) and Greedy Tiling for Streamsurface reconstruction. Developed using C++ and VTK.
The classical paper list with code about generative adversarial nets
在人工智能、机器视觉、高精度导航定位和多传感器融合等技术的助推下,众多行业迎来了前所未有的发展机遇,人工智能+无人机(AI+UAV)正是一个具有无限想象力的应用方向。杭州启飞智能科技有限公司深耕无人机及人工智能领域多年,拥有完善的软硬件平台、海量数据资源(飞行数据及农田地理信息数据)及众多资深专家团队,正在努力地开拓AI+UAV在科技+农业的行业应用,欢迎加入
Asynchronous parallel advection of particles through unstructured grid in OpenCL
This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity) from a low-resolution point cloud, or from an image.
Implementation for "Bounding Volume Hierarchy Optimization through Agglomerative Treelet Restructuring"
Paper Lists for Graph Neural Networks
A curated list of awesome Machine Learning frameworks, libraries and software.
Block GMRES using Kokkos
Intersections, Convex Hull, Delaunay Triangulation, KDTree, 3D Meshes. Developed in C++.
A list of papers relating Computational Physics and Machine Learning
Topological Data Analysis using Contour Trees
MPI parallel implementation in C++ for finding the 3D Convex Hull via a divide-and-conquer approach.
These common credit score data sets are collected to empirical evaluations, and I will update dynamically.
A dataset of mineral images and labels for machine learning purposes. http://www.minerals.net/
Parallel particle motion simulator in OpenMP, CUDA and OpenMPI
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.