seunghyunhan / deep-characterization-soft-sensorLinks
Implementation of "Use of Deep Learning for Characterization of Microfluidic Soft Sensors" (RA-L and ICRA'2018)
☆10Updated 6 years ago
Alternatives and similar repositories for deep-characterization-soft-sensor
Users that are interested in deep-characterization-soft-sensor are comparing it to the libraries listed below
Sorting:
- Adaptive Soft Sensors☆19Updated 6 years ago
- Variable Time Reconstruction based modeling framework for soft sensor development☆13Updated 5 years ago
- Github repo for the research paper titled "Integrating Adaptive Moving Window and Just-in-Time Learning Paradigms for Soft-Sensor Design"☆21Updated 5 years ago
- Soft sensor modelling using multiple machine learning algorithms☆24Updated 6 years ago
- Soft Sensor with Variational Inference Technique☆20Updated last year
- Gaussian process regression algorithms for nonlinear system state prediciton☆13Updated 10 years ago
- Consistent Koopman Autoencoders☆75Updated 2 years ago
- Deep Echo State Network (DeepESN) Python Library☆126Updated 2 weeks ago
- Wind speed prediction using machine learning algorithms and time-series models☆12Updated 10 years ago
- The dataset contains the three-phase current signals measured from a squirrel-cage induction motor. The experimental tests were carried o…☆12Updated 6 months ago
- Online-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in python☆155Updated 6 years ago
- This repository contains all interactive examples and FAQ that are part of the online Interactive Course for Control Theory (ICCT)- https…☆12Updated 4 years ago
- Bayesian calibration using Tensorflow Probability☆35Updated 7 years ago
- RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical sy…☆98Updated 2 years ago
- Linear and non-linear spectral forecasting algorithms☆139Updated 4 years ago
- Representation Learning with Deconvolutional Networks for Multivariate Time Series☆12Updated 9 years ago
- ☆20Updated 4 years ago
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆79Updated 3 years ago
- ☆21Updated 7 years ago
- Bayesian LSTM Implementation in PyTorch☆115Updated 3 years ago
- ☆26Updated 6 years ago
- A python multi-variate time series prediction library working with sklearn☆100Updated 5 years ago
- SImple Python implemention of recurrence plot for a time series.☆53Updated 8 years ago
- Deep learning assisted dynamic mode decomposition☆19Updated 4 years ago
- Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.☆100Updated 4 years ago
- Neural State-Space Models and Latent Dynamics Functions in PyTorch for High-Dimensional Forecasting☆56Updated last year
- multivariate Gaussian process regression and multivariate Student-t process regression☆77Updated last month
- Python3 project applying Gaussian process regression for forecasting stock trends☆159Updated 7 years ago
- Echo State Networks☆43Updated 10 years ago
- Autoencoder-based Change Point Detection in Time Series Data using a Time-Invariant Representation☆40Updated 4 years ago