JustusvLiebig

JustusvLiebig's Stars

• d2l-ai/d2l-zh

  《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

  Language:Python63.6k1.1k011.1k

• dynamicslab/pysindy

  A package for the sparse identification of nonlinear dynamical systems from data

  Language:Python1.5k32370323

• jakobrunge/tigramite

  Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at

  Language:Jupyter Notebook1.3k40198278

• xunzheng/notears

  DAGs with NO TEARS: Continuous Optimization for Structure Learning

  Language:Python6022218133

• kpchamp/SindyAutoencoders

  Language:Python338122102

• fishmoon1234/DAG-GNN

  Language:Python29072370

• eurika-kaiser/SINDY-MPC

  Language:MATLAB25811672

• mingzhangPHD/Transfer-Learning-for-Fault-Diagnosis

  This repository is for the transfer learning or domain adaptive with fault diagnosis.

  Language:Python2263246

• dynamicslab/SINDy-PI

  SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics

  Language:MATLAB13011542

• dynamicslab/dominant-balance

  Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)

  Language:Jupyter Notebook545029

• jmoss20/notears

  Implementation of "DAGs with NO TEARS: Smooth Optimization for Structure Learning", by Zheng et al. (2018)

  Language:Jupyter Notebook472111

• SacklerCentre/MVGC1

  The MVGC Multivariate Granger Causality toolbox for Granger-causal inference from time-series data.

  Language:MATLAB462023

• loiseaujc/SINDy

  Language:Python405026

• aysunrhn/Adaptive-Soft-Sensor-Design

  Github repo for the research paper titled "Integrating Adaptive Moving Window and Just-in-Time Learning Paradigms for Soft-Sensor Design"

  Language:MATLAB202411

• 2M-kotb/LSTM-based-Stacked-Autoencoder

  Language:Python18116

• yaole0720/VTR-based-Soft-Sensor

  Variable Time Reconstruction based modeling framework for soft sensor development

  Language:MATLAB13201

• readdy/readdy_learn

  learn reactions from data

  Language:Jupyter Notebook9603

• rogeredc/soft_sensor

  soft_sensor_for_chemical_process

  Language:Jupyter Notebook910

• Sun-WeiZhen/Soft-Sensor

  Mainly used to calculate data that is difficult to measure directly（主要用于实现对难以直接测量的数据的计算）

  91

• nakanishi-akitaka/python2018_backup

  Language:Jupyter Notebook5103

• gprudencio/EAND

  Article: Soft sensors design in a petrochemical process using an Evolutionary Algorithm

  Language:Python3

• victord-za/Batch-Cooling-Tower

  On the optimum design of a cooling water system with a batch background process

  Language:GAMS3000

• alexalex222/My-MATLAB-Tooboxes

  Algorithms written by myself or toolboxes from third party

  Language:Matlab25

• almomaa/Entropic-Regression

  The Method of Entropic Regression, sparse system identification method based on causality inference of complex networks.

  Language:MATLAB2000

• benrogboe/causalinference4networkbio

  Unsupervised multilayer biological network reconstruction and mechanistic causal inference

  Language:Jupyter Notebook1100

• CSUBioGroup/NIMCE

  A gene regulatory network inference approach based on multi time delays causal entropy

  Language:MATLAB120

• fbussv/RMG-941-and-AWS

  RMG/941 Soft Sensor Demo with AWS IoT

  Language:Jupyter Notebook11

• gansterhuang/-

  机器学习

  Language:Python1

• GiovaniValdrighi/DAG_GNN

  Language:Python1200

• MuchenSun/iSINDy

  implicit-SINDy code example from paper "Inferring Biological Networks by Sparse Identification fo Nonlinear Dynamics" http://ieeexplore.ieee.org/abstract/document/7809160/

  Language:MATLAB1100