wdwang Goto Github PK

abc

Approximate Bayesian Computation - Sequential Monte Carlo implementation

abcpmc

abrox

A python package for Approximate Bayesian Computation

arxiv-sanity-preserver

Web interface for browsing, search and filtering recent arxiv submissions

bayesian-machine-learning

Notebooks related to Bayesian methods for machine learning

bayesianregression

Small examples on Bayesian Regression using methodes from Bayesian Optimization. Based on several scientific papers and articles as well as PhD theses

carla

Open-source simulator for autonomous driving research.

computer-networking

Computer Networking Top-Down Approach, 7th & TCP/IP Illustrated Volume 1, 2nd

cpama

《C语言程序设计：现代方法》习题

dair-v2x

data-analysis-and-machine-learning-projects

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

dgp-vae

Disentangled GP-VAE

gpmat

gpr

Gaussian process regression tutorial

gprt

Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.

gptp

gptp_multi_output

multivariate Gaussian process regression and multivariate Student-t process regression

iliad

Implementation of Hamiltonian Monte Carlo sampling methods in pure NumPy and SciPy.

kalman-and-bayesian-filters-in-python

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.

learning-likelihood

Learning the Likelihood: Using DeepInference for the Estimation of Diffusion-Model and Lévy Flight Parameters

m3u

直播源

matlab_copy

modelicabook

Source for my new Modelica Book

mogptk

Multi-Output Gaussian Process Toolkit

neural-processes

PyTorch implementation of Neural Processes

new-pac

phd-thesis

Accelerating Monte Carlo methods for Bayesian inference in dynamical models

pmh-tutorial

Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"

prml

Repository of notes, code and notebooks for the book Pattern Recognition and Machine Learning by Christopher Bishop

prmlt

Matlab code for machine learning algorithms in book PRML