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Experiments using the structured Bayesian Gaussian process latent variable model for inverse problems
combination of sparse identification of nonlinear dynamics with Akaike information criteria
Matlab Code for Supervised Latent Linear Gaussian Process Latent Variable Model for Dimensionality Reduction (SLLGPLVM)
Supplemental code for "Data-driven Control of Soft Robots Using Koopman Operator Theory," by Daniel Bruder, Xun Fu, R. Brent Gillespie, C. David Remy, and Ram Vasudevan.
Learn sparse representations of the Koopman operator in POD basis in kernel feature space
a collection of modern sparse (regularized) linear regression algorithms.
Analysis of how changes in power spectral density as a consequence of increased cognitive control relates to changes in effective connectivity
A Chinese Translation of Stanford CS229 notes 斯坦福机器学习CS229课程讲义的中文翻译
State space modeling for Julia
Matlab code implementing different methods used in statistical signal processing; mainly Extended Kalman Filters, LMS/RLS, Wiener, robust regression, MMSE estimators, ML estimators, Hi-Frequency estimators (Pisarenko, MUSIC, ESPRIT)
This repos provides an MATLAB code implementation for the Statistical Approach to Texture Classification from Single Images paper by Varma et. al.
This package contains MatLab code for analyzing and synthesizing digital image of visual texture.
A MATLAB toolbox for building first-order solvers for convex models.
PhD thesis in Latex
Inertial block majorization minimization (TITAN) for sparse non-negative matrix factorization and matrix completion
Worm tracking matlab code using multiple hypotheses
A collection of Matlab functions to do various tasks in tree-ring analysis, originally by Dave Meko for his Time Series Analysis course.
VBEM method to perform GRN inference
Online VB filter applied to state-space models with point process observations
Variational Gaussian mixture model for MATLAB.
Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB
Variational Gaussian Process State Space Model
Black box variational inference for state space models
A java virus broadcast simulation
Bayesian comparison of causal inference strategies in multisensory heading perception
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.