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18.06 course at MIT
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.
Course Project for EE602: Statistical Signal Processing
Code of "adversarial attack ? no panic!"
Pytorch code to generate adversarial examples on mnist and ImageNet data.
数据结构和算法必知必会的50个代码实现
Visual Tracking Paper List
Matlab implementation of boids model
This is the source code for the paper entitled "CoCMA: Energy-Efficient Coverage Control in Cluster-Based Wireless Sensor Networks Using a Memetic Algorithm"
Matlab codes for paper entitled "Distributed Hybrid Consensus-Based Square-Root Cubature Quadrature Information Filter and Its Application to Maneuvering Target Tracking"
Implements consensus algorithms on fixed and time varying graphs
My bachelor's thesis project for controlling a large swarm of quadrators through consensus and formation feedback.
List of Computer Science courses with video lectures.
Final Project for Allegheny College CS383
Project
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
Track target in a distributed way
Source code for reproducing results in several papers related to particle filtering
Code for the book Deep Learning with PyTorch by Eli Stevens and Luca Antiga.
This is an implementation of efficiently distributed estimator
ECE 565 Class project matlab implementation on parameter estimation of mixture of two binomial distribution
This is an implement on the algorithm of the interacting multiple model algorithm.
exercise for nndl
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'.
A curated list of adversarial attacks and defenses papers on graph-structured data.
Joint probabilistic Data Association
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.