Git Product home page Git Product logo

yelangjobs's Projects

a-divide-and-conquer-strategy-for-high-dimensional-bayesian-factor-models icon a-divide-and-conquer-strategy-for-high-dimensional-bayesian-factor-models

We propose a distributed computing framework, based on a divide and conquer strategy and hierarchical modeling, to accelerate posterior inference for high-dimensional factor models. Our approach distributes the task of high-dimensional covariance matrix estimation to multiple cores, solves each subproblem separately via a latent factor model, and then combines these estimates to produce a globale estimate of the covariance matrix. The MATLAB code is available for public use. The paper is available at https://arxiv.org/pdf/1612.02875.pdf.

algo icon algo

数据结构和算法必知必会的50个代码实现

cocma icon cocma

This is the source code for the paper entitled "CoCMA: Energy-Efficient Coverage Control in Cluster-Based Wireless Sensor Networks Using a Memetic Algorithm"

codes-for-ijdsn icon codes-for-ijdsn

Matlab codes for paper entitled "Distributed Hybrid Consensus-Based Square-Root Cubature Quadrature Information Filter and Its Application to Maneuvering Target Tracking"

consensus icon consensus

Implements consensus algorithms on fixed and time varying graphs

distributed-network-consensus icon distributed-network-consensus

MATLAB implementation of "Average TimeSync Protocol", an algorithm for clock synchronization via distributed linear iterations from IEEE publication "A Distributed Consensus Protocol for Clock Synchronization in Wireless Sensor Networks" by Luca Schenato and Giovanni Gamba

dlwpt-code icon dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens and Luca Antiga.

emmixturemodel icon emmixturemodel

ECE 565 Class project matlab implementation on parameter estimation of mixture of two binomial distribution

exampleimm icon exampleimm

This is an implement on the algorithm of the interacting multiple model algorithm.

filterpy icon filterpy

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

jpda icon jpda

Joint probabilistic Data Association

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.