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
• Ulti-Dreisteine / gaussian-process-regression
  高斯过程回归
  ☆85Updated 3 years ago
• jehillparikh / bayesianLSTM
  Bayesian LSTM (Tensorflow)
  ☆56Updated 2 years ago
• Alaya-in-Matrix / NeuralLinear
  Multi-output Gaussian process regression via multi-task neural network
  ☆14Updated 6 years ago
• DuaneNielsen / DualAttentionSeq2Seq
  Analysis of Time Series data using Seq2Seq LSTM and 2 attention layers
  ☆16Updated 7 years ago
• KevinHooah / BayesianLSTM-for-Time-series-Prediction
  Bayesian LSTM for time-series prediction.
  ☆19Updated 5 years ago
• devjwsong / lstm-bayesian-optimization-pytorch
  Bayesian Optimization implementation for text classifiction
  ☆23Updated last year
• Cui-F / GA_LSTM
  ☆15Updated 5 years ago
• zhangxu0307 / stack-autoencoder
  This is stack autoencoder (SAE) implemented by Pytorch
  ☆25Updated 7 years ago
• nealjean / coreg
  Implementation of Co-training Regressors (COREG) semi-supervised regression algorithm from Zhou and Li, 2005.
  ☆61Updated 6 years ago
• tankwin08 / Bayesian_uncertainty_LSTM
  Bayesian, Uncertainty, Neutral Networks, LSTM, time series
  ☆40Updated 5 years ago
• LiamMaclean216 / Pytorch-Chatbot
  ☆18Updated 5 years ago
• husnejahan / Temporal-CNN
  Probabilistic Forecasting with Temporal Convolutional Neural Network
  ☆11Updated 6 years ago
• LiYouru0228 / EA-LSTM
  EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction
  ☆40Updated 6 years ago
• drzhang3 / DeepTimeSeriesModel
  A paper list for Time series modelling, including prediciton and anomaly detection
  ☆94Updated 5 years ago
• fishjh2 / prediction-interval-NN
  Confidence and prediction intervals for feedforward NNs and RNNs
  ☆27Updated 7 years ago
• PawaritL / BayesianLSTM
  Bayesian LSTM Implementation in PyTorch
  ☆114Updated 2 years ago
• kaishxu / qrnn
  QRNN (Quantile Regression Neural Network) Keras version
  ☆25Updated 5 years ago
• yakouyang / Multilevel_Wavelet_Decomposition_Network_Pytorch
  This project is the pytorch implementation version of Multilevel Wavelet Decomposition Network.
  ☆101Updated 7 years ago
• rz0718 / MHMS_DEEPLEARNING
  ☆92Updated 5 years ago
• RamanHacks / Fault-Diagnosis
  Fault Diagnosis of Tennessee Eastman Chemical process using Neural Networks
  ☆42Updated 6 years ago
• LeronQ / DA-RNN
  ☆42Updated 5 years ago
• Sanyam-Mehta / TPA-LSTM-PyTorch
  This is the PyTorch implementation of TPA-LSTM
  ☆60Updated 6 years ago
• arthurviens / bayesrul
  Bayesian Neural Networks to predict RUL on N-CMAPSS
  ☆21Updated 3 years ago
• zwd2016 / multivariate-time-series-prediction
  This code is the implementation of this paper (Multistage attention network for multivariate time series prediction)
  ☆23Updated 5 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…
  ☆15Updated 4 years ago
• SchindlerLiang / VAE-for-Anomaly-Detection
  MLP_VAE, Anomaly Detection, LSTM_VAE, Multivariate Time-Series Anomaly Detection, IndRNN_VAE, Tensorflow
  ☆122Updated 6 years ago
• KurochkinAlexey / DA-RNN
  Pytorch implementation of Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction https://arxiv.org/pdf/1704.02971…
  ☆38Updated 6 years ago
• smallGum / MLCNN-Multivariate-Time-Series
  Codes for Multi-Level Construal Neural Network framework
  ☆48Updated 5 years ago
• JacobWang95 / mWDN
  ☆52Updated 7 years ago