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-notes

adaptive_soft_sensors

Adaptive Soft Sensors

adrc

v1

awesome-conformal-prediction

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

bsm1_gym

Transform a Modelica model (BSM1) into a Python OpenAI Gym environment, and optimize operation cost using reinforcement learning.

cca_zoo

Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn style framework

concept-drift

NTU MSLAB Concept drift team

control-algorithm

反馈跟踪控制器，控制算法工具包，ADRC自抗扰控制，PID控制，抗积分饱和PID控制，增量式PID控制，模糊FuzzyPID控制，LQR线性二次型调节器控制，启发算法控制，强化学习控制，无人机轨迹跟踪控制

control-and-system-book

textbook about control, robotics, system

cs-books

计算机相关书籍

deep_partial_least_squares

Source code for Deep Partial Least Squares for Empirical Asset Pricing.

deepextrememixturemodel

Official code release for Deep Extreme Mixture Model by Wilson, McDonald, Galib, Tan, and Luo.

di-pls

Python implementation of domain-invariant partial least squares regression (di-PLS)

dtrsr

A deep transfer regression method based on seed replacement considering balanced domain adaptation

exact

EXONA: The Evolutionary eXploration of Neural Networks Framework -- EXACT, EXALT and EXAMM

idrlnet

IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.

jackstramp

kydlib

Routines for exploratory data analysis.

measuring_predictability_renewable_energy

Measuring the predictability of renewable generation

mpc_tutorials

my-matlab-tooboxes

Algorithms written by myself or toolboxes from third party

orcpy

Organic Rankine Cycle Optimizer Tool

physics-based-deep-learning

Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond

pina

Physics-Informed Neural networks for Advanced modeling

pm25_transfer_learning

Research Project: PM 2.5 prediction using transfer learning approaches.

py_sgpls

A Python implementation of the sparse extensions of PLS coded in R. The package aims to be compatible with scikit-learn and build upon the existing PLS framework.

pykoopman

A package for computing data-driven approximations to the Koopman operator.

racinglmpc

Implementation of the Learning Model Predictive Controller for autonomous racing

spls

Stochastic Optimization for Multiview Representation Learning using Partial Least Squares

steamflow-with-streamlit

SteamFlow Prediction App- This app predicts the SteamFlow of a PaperRoll in PaperMill!