Alternatives and similar repositories for NeuralLinear

Users that are interested in NeuralLinear are comparing it to the libraries listed below

• Magica-Chen / gptp_multi_output
  multivariate Gaussian process regression and multivariate Student-t process regression
  ☆77Updated last month
• JustusvLiebig / Inferential_Sensor_Experiment
  Soft Sensor with Variational Inference Technique
  ☆20Updated last year
• dgedon / DeepSSM_SysID
  Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.
  ☆99Updated 4 years ago
• sisl / variational_koopman
  Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…
  ☆43Updated 6 years ago
• Ulti-Dreisteine / gaussian-process-regression
  高斯过程回归
  ☆85Updated 3 years ago
• yaole0720 / VTR-based-Soft-Sensor
  Variable Time Reconstruction based modeling framework for soft sensor development
  ☆13Updated 5 years ago
• erichson / koopmanAE
  Consistent Koopman Autoencoders
  ☆75Updated 2 years ago
• 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"
  ☆20Updated 5 years ago
• RamanHacks / Fault-Diagnosis
  Fault Diagnosis of Tennessee Eastman Chemical process using Neural Networks
  ☆43Updated 6 years ago
• iqiukp / Gaussian-Process-Regression
  Gaussian Process Regression using GPML toolbox
  ☆36Updated 5 years ago
• panweihit / BSID
  Bayesian System IDentification
  ☆27Updated 7 years ago
• MasashiSode / MOBO
  constrained/unconstrained multi-objective bayesian optimization package.
  ☆47Updated 3 years ago
• iamownt / LSTM-DeepFM
  Code Implement of A Data-driven Self-supervised LSTM-DeepFM Model for Industrial Soft Sensor
  ☆30Updated 3 years ago
• borgwang / toys
  Toy models, experiments and random notes on machine learning and deep learning.
  ☆129Updated last year
• luckystarufo / DMD_for_Human_motion
  ☆36Updated 7 years ago
• hkaneko1985 / adaptive_soft_sensors
  Adaptive Soft Sensors
  ☆19Updated 6 years ago
• RomainLITUD / Multistep-Traffic-Forecasting-by-Dynamic-Graph-Convolution
  Multistep Traffic Forecasting by Dynamic Graph Convolution: Interpretations of Real-Time Spatial Correlations
  ☆16Updated last year
• kirthevasank / mf-gp-ucb
  Multi-fidelity Gaussian Process Bandit Optimisation
  ☆39Updated 9 years ago
• RPcb / ARNN
  ☆42Updated 3 years ago
• mlpotter / DeepKoopmanLusch
  PyTorch Implementation of Lusch et al DeepKoopman
  ☆16Updated 3 years ago
• zi-w / Max-value-Entropy-Search
  Max-value Entropy Search for Efficient Bayesian Optimization
  ☆80Updated 3 years ago
• ebonilla / mtgp
  Multi-task Gaussian Process
  ☆45Updated 10 years ago
• mrunal46 / TEP-Fault-Detection
  ☆16Updated 6 years ago
• HandingWang / DDMOP
  Competition on Online Data-Driven Multi-Objective Optimization
  ☆26Updated 6 years ago
• vigorfif / Soft-Sensor-Modelling
  Soft sensor modelling using multiple machine learning algorithms
  ☆24Updated 6 years ago
• JustusvLiebig / Soft_Sensor_Experiments
  ☆95Updated 3 years ago
• rohitash-chandra / mt-bnn-dts
  Multi-task learning via Bayesian Neural Networks for Dynamic Time Series Prediction
  ☆21Updated 8 years ago
• srp98 / Prediction-using-Bayesian-Neural-Network
  Prediction of continuous signals data and Web tracking data using dynamic Bayesian neural network. Compared with other network architectu…
  ☆42Updated 7 years ago
• sjstreicher / FaultMap
  Graph and information theory based fault detection and diagnosis from historian time series data
  ☆32Updated 2 months ago
• Xiao-dong-Wang / Transfer-GP
  An adaptive transfer learning algorithm based on Gaussian Process
  ☆12Updated 5 years ago