tkl17's Stars
SURGroup/UQpy
UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.
bsciolla/gaussian-random-fields
Generator of 2D gaussian random fields
AleksandarHaber/Disciplined-Python-Implementation-of-the-Recursive-Least-Squares-Method
This is a disciplined Python implementation of the Recursive Least Squares Method
trsav/rbf-functions-for-surrogate-optimisation
An Implementation of Radial Basis Functions for means of approximating a function, with applications within surrogate based optimization
microsoft/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
mopg/phdthesis-template
MIT PhD Thesis template
Project-Platypus/Platypus
A Free and Open Source Python Library for Multiobjective Optimization
michaelkapteyn/UAV-Experimental-Calibration
MATLAB codes and source data for the experimental calibration of a UAV digital twin
GoogleCloudPlatform/asl-ml-immersion
This repos contains notebooks for the Advanced Solutions Lab: ML Immersion
sspickle/instrumentation-projects
A collection of instrumentation projects for PHYS-230. Mostly python, but also Arduino, PSoC etc.
mattiasvillani/AdvBayesLearnCourse
Course material for the PhD course in Advanced Bayesian Learning
probml/pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
probml/pyprobml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
probml/pmtk3
Probabilistic Modeling Toolkit for Matlab/Octave.
Adolphus8/Transitional_Ensemble_MCMC
Repository to tutorials on the implementation of the Transitional Ensemble Markov Chain Monte Carlo (TEMCMC) sampler for Bayesian Model Updating.
luan-th-nguyen/ParticleFilter
Matlab implementation of the Particle filter for Bayesian inference of model parameters
sas229/geocam
Camera control software for geotechnical research applications.
weijie-chen/Linear-Algebra-With-Python
Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.
siddthesquid/ImageTransformer
stratisMarkou/online_textbook_preview
A preview of the online machine learning textbook
JavierAntoran/Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
markvdw/mml-autumn-2022
Materials for Autumn 2022 Mathematics for Machine Learning course.
ShawhinT/YouTube-Blog
Codes to complement YouTube videos and blog posts on Medium.