Alternatives and similar repositories for bayesianLSTM

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

• tankwin08 / Bayesian_uncertainty_LSTM
  Bayesian, Uncertainty, Neutral Networks, LSTM, time series
  ☆39Updated 4 years ago
• KevinHooah / BayesianLSTM-for-Time-series-Prediction
  Bayesian LSTM for time-series prediction.
  ☆20Updated 5 years ago
• PawaritL / BayesianLSTM
  Bayesian LSTM Implementation in PyTorch
  ☆107Updated 2 years ago
• fishjh2 / prediction-interval-NN
  Confidence and prediction intervals for feedforward NNs and RNNs
  ☆27Updated 7 years ago
• kaishxu / qrnn
  QRNN (Quantile Regression Neural Network) Keras version
  ☆24Updated 4 years ago
• tony-psq / QRMGM_KDE
  A probabilistic forecasting method based on Quantile Regression Minimal Gated Memory Network and Kernel Density Estimation.
  ☆20Updated 5 years ago
• husnejahan / Temporal-CNN
  Probabilistic Forecasting with Temporal Convolutional Neural Network
  ☆11Updated 5 years ago
• frank0532 / Bayesian_Neural_Networks
  implement bayesian neural networks on tensorflow.
  ☆17Updated 5 years ago
• HansikaPH / time-series-forecasting
  Recurrent Neural Network Implementations for Time Series Forecasting
  ☆74Updated 3 years ago
• TeaPearce / Deep_Learning_Prediction_Intervals
  ICML paper 'High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach'
  ☆90Updated 5 years ago
• Jeevesh8 / GHI-prediction
  PyTorch Code for running various time series models for different time stamps and confidence intervals for Solar Irradiance prediction.
  ☆56Updated 5 years ago
• LiYouru0228 / EA-LSTM
  EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction
  ☆38Updated 6 years ago
• zzdzzdzzdzzd / SWLSTM_GPR
  A new probabilistic wind speed prediction method, called Shared Weight Long Short-Term Memory Network combined with Gaussian Process Regr…
  ☆3Updated 5 years ago
• KurochkinAlexey / Hierarchical-Attention-Based-Recurrent-Highway-Networks-for-Time-Series-Prediction
  Pytorch implementation of Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction https://arxiv.org/abs/1806.0…
  ☆64Updated 5 years ago
• vincent-leguen / STRIPE
  Code for our NeurIPS 2020 paper "Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity"
  ☆88Updated 4 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 5 years ago
• yakouyang / Multilevel_Wavelet_Decomposition_Network_Pytorch
  This project is the pytorch implementation version of Multilevel Wavelet Decomposition Network.
  ☆100Updated 6 years ago
• drzhang3 / DeepTimeSeriesModel
  A paper list for Time series modelling, including prediciton and anomaly detection
  ☆93Updated 5 years ago
• arleigh418 / Paper-Implementation-DSTP-RNN-For-Stock-Prediction-Based-On-DA-RNN
  基於DA-RNN之DSTP-RNN論文試做(Ver1.0)
  ☆77Updated 4 years ago
• NshanPotikyan / TransferLearningTimeSeries
  Transfer Learning for Time Series Prediction Task
  ☆104Updated 6 years ago
• spallas / time-attention
  Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971
  ☆59Updated 2 years ago
• devjwsong / lstm-bayesian-optimization-pytorch
  Bayesian Optimization implementation for text classifiction
  ☆23Updated 11 months ago
• epishova / Neural-Networks-for-time-series-analysis
  Compare how ANNs, RNNs, LSTMs, and LSTMs with attention perform on time-series analysis
  ☆42Updated 6 years ago
• UalwaysKnow / time-series-prediction-with-gan
  stock forecasting with sentiment variables(with lstm as generator and mlp as discriminator)
  ☆35Updated 5 years ago
• junwang23 / deepdirtycodes
  Experimental and exercising codes
  ☆22Updated 6 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
• DimasDMM / time-series-classification
  Binary Time Series Classification using two different approaches: LSTM with Dropout and LSTM with Attention.
  ☆13Updated 5 years ago
• lpphd / multivariate-attention-tcn
  ☆96Updated 2 years ago
• flaviagiammarino / deep-tcn-tensorflow
  TensorFlow implementation of DeepTCN model for probabilistic time series forecasting with temporal convolutional networks.
  ☆40Updated last year
• anassinator / bnn
  Bayesian Neural Network in PyTorch
  ☆89Updated last year