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100-days-of-ml-code

100 Days of ML Coding

100-days-of-ml-code-1

100-Days-Of-ML-Code中文版

active-learning-koopman

bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

bw-projects

A collection of robotics, control, and machine learning relevant projects over the years

c9-python-getting-started

Sample code for Channel 9 Python for Beginners course

chollrup

Matlab MEX commands for updating and downdating Cholesky factors after rank one changes

continuumrobotexamples

An incremental guide to continuum robot mathematical modeling and numerical implementation. The examples are divided into chapters within the folder structure, and each chapter contains a PDF and code examples.

control-group-code

Repository collecting the code for papers and projects at our control group at University of Salerno (lead contact: Giovanni Russo)

cosserat-rod-modeling-of-tendon-actuated-continuum-robots

This code is associated to the paper Tummers et al., “Cosserat Rod Modeling of Continuum Robots from Newtonian and Lagrangian Perspectives,” IEEE T-RO. (DOI 10.1109/TRO.2023.3238171) to model tendon actuated continuum robots through both the Newtonian and Lagrangian approaches. Compared to the literature, both approaches are extended with novelties

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

deeplearning.ai

deeplearning.ai , By Andrew Ng, All slide and notebook + code and some material.

deepmrac

This code implements Deep Model Reference Adaptive Controller for a WingRock System

dqnlearn

franka-emika-panda-matlab-simulation

MATLAB simulation of franka emika panda robot control using Runge-Kutta.

franka_emika_panda_pybullet

PyBullet Simulation of the Franka Emika Panda 7-DOF Robot, providing movement simulation, inverse dynamics calculation and gravity compensation.

frankaemikapandadynmodel

Dynamic model of the Franka Emika Panda robot

gauss_proc_unknown_hyp

gpmrac

gprt

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

https---girishc-gitlab.engr.illinois.edu-girishc-adaptive-control

Matlab software, papers, and presentations relating to concurrent learning and gaussian process MRAC

koopman-identification

Main and dual identification methods in the Koopman operator framework

koopman_operator_predictive_control

a repository of the codes related with the paper published in the journal paper (check the readme file).

machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

master-thesis

Some programs whom I developed for my master thesis

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

model_reference_adaptive_control

mpc-koopman

Model-based Control using Koopman Operators

notes-python

中文 Python 笔记

odmd

AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)