wmkouw Goto Github PK
Name: Wouter Kouw
Type: User
Company: TU Eindhoven
Bio: Researcher in probabilistic intelligent autonomous systems.
Location: Eindhoven, Netherlands
Blog: https://wmkouw.github.io
Name: Wouter Kouw
Type: User
Company: TU Eindhoven
Bio: Researcher in probabilistic intelligent autonomous systems.
Location: Eindhoven, Netherlands
Blog: https://wmkouw.github.io
Active inference agent for a 2-dimensional walking robot.
Design of an acrobot stabilization controller using active inference.
Design of a cartpole stabilization controller using active inference.
Design of an oscillator position controller using active inference.
Nonlinear clustering of Danish butterfly specimens
Linear-Quadratic Gaussian control with adaptive noise estimation through variational Bayes.
Message-passing-based active inference agent with autoregressive generative model.
Archive of personal implementations of various Bayesian filters.
Archive of personal implementations of various Bayesian smoothers.
Bayesian Python: Bayesian inference tools for Python
Bayesian regression with Chebyshev polynomials
Repository with content of BIASlab website for Hugo static site generator.
Belief Propagation in JAX
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
Cross-center smoothness prior for Bayesian image segmentation
Powell's example of cyclic non-convergence in coordinate descent with exact minimization
Regularization parameter estimation under covariate shift
Sampling skewness of importance-weighted risk estimator for machine learning under covariate shift.
Controlled importance-weighted cross-validation
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'.
Feature-level domain adaptation
Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.
ForneyLab.jl factor node for generalised filtering with exogenous input.
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
ForneyLab.jl factor node for a latent autoregressive model with exogenous input.
Library of transfer learners and domain-adaptive classifiers.
MR acquisition-invariant neural network
An active inference agent based on expected free energy minimization with a nonlinear autoregressive exogenous model.
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.