Alternatives and similar repositories for Bayesian_Neural_Networks:

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

• Xiao-dong-Wang / Transfer-GP
  An adaptive transfer learning algorithm based on Gaussian Process
  ☆12Updated 4 years ago
• devjwsong / lstm-bayesian-optimization-pytorch
  Bayesian Optimization implementation for text classifiction
  ☆21Updated 5 months ago
• KevinHooah / BayesianLSTM-for-Time-series-Prediction
  Bayesian LSTM for time-series prediction.
  ☆21Updated 4 years ago
• tmdt-buw / continual-learning-mas-cloning-injection-molding
  Code to reproduce the results from the paper "Continual Learning of Neural Networks for Quality Prediction in Production using Memory Awa…
  ☆14Updated 3 years ago
• JP-MRPhys / bayesianLSTM
  Bayesian LSTM (Tensorflow)
  ☆52Updated last year
• iamownt / LSTM-DeepFM
  Code Implement of A Data-driven Self-supervised LSTM-DeepFM Model for Industrial Soft Sensor
  ☆27Updated 2 years ago
• Cui-F / GA_LSTM
  ☆15Updated 4 years ago
• tankwin08 / Bayesian_uncertainty_LSTM
  Bayesian, Uncertainty, Neutral Networks, LSTM, time series
  ☆38Updated 4 years ago
• Ulti-Dreisteine / gaussian-process-regression
  高斯过程回归
  ☆75Updated 2 years ago
• hkaneko1985 / adaptive_soft_sensors
  Adaptive Soft Sensors
  ☆17Updated 5 years ago
• rz0718 / MHMS_DEEPLEARNING
  ☆93Updated 4 years ago
• Shengjie-bob / Rainfall_Prediction
  Rainfall Prediction or Rainfall Forecasting via machine learning, such as SVR, LSTM, MLP, Seq2Seq, GBRT and XGBoost
  ☆12Updated 3 years ago
• husnejahan / Temporal-CNN
  Probabilistic Forecasting with Temporal Convolutional Neural Network
  ☆11Updated 5 years ago
• RamanHacks / Fault-Diagnosis
  Fault Diagnosis of Tennessee Eastman Chemical process using Neural Networks
  ☆38Updated 5 years ago
• fishjh2 / prediction-interval-NN
  Confidence and prediction intervals for feedforward NNs and RNNs
  ☆27Updated 6 years ago
• tonyzyl / Semisupervised-VAE-for-Regression-Application-on-Soft-Sensor
  An semi-supervised extension based on VAE for Regression, demonstrate its performance on two soft sensor benchmark problems.
  ☆15Updated last year
• Alaya-in-Matrix / NeuralLinear
  Multi-output Gaussian process regression via multi-task neural network
  ☆13Updated 5 years ago
• VNemani14 / UQ_ML_Tutorial
  Code repository for review paper titled "Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A …
  ☆24Updated last year
• rohitash-chandra / mt-bnn-dts
  Multi-task learning via Bayesian Neural Networks for Dynamic Time Series Prediction
  ☆19Updated 7 years ago
• SophiaWJ / Transfer-learning
  Transfer Knowledge Learned from Multiple Domains for Time-series Data Prediction
  ☆11Updated 6 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…
  ☆36Updated 6 years ago
• kaishxu / qrnn
  QRNN (Quantile Regression Neural Network) Keras version
  ☆24Updated 4 years ago
• chunhuiz / Industrial_ZSL
  ☆21Updated 3 years ago
• vigorfif / Soft-Sensor-Modelling
  Soft sensor modelling using multiple machine learning algorithms
  ☆21Updated 5 years ago
• PawaritL / BayesianLSTM
  Bayesian LSTM Implementation in PyTorch
  ☆100Updated 2 years ago
• t170815518 / BroadLearningSystemFrame
  This is a Python package for Broad Learning System.
  ☆18Updated 4 years ago
• naikio / LSTM_encoder_decoder_for_prognostics
  ☆10Updated 6 years ago
• DFrolova / ml-sk-project
  This repository contains all necessary scripts for project of team 8
  ☆22Updated 3 years ago
• zhangqingqingq / Fault-diagnosis-based-on-LSTM
  TE data diagnosis using pytorch
  ☆21Updated 5 years ago