Alternatives and similar repositories for BayesianLSTM-for-Time-series-Prediction

Users that are interested in BayesianLSTM-for-Time-series-Prediction are comparing it to the libraries listed below

• LiYouru0228 / EA-LSTM
  EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction
  ☆38Updated 6 years 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
• fishjh2 / prediction-interval-NN
  Confidence and prediction intervals for feedforward NNs and RNNs
  ☆27Updated 7 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
• akyadav26 / Time-Series-Forecast-with-Deep-Hybrid-Architecture
  Multivariate time-series forecasting with LSTNET and soft-DTW loss
  ☆30Updated 5 years ago
• RuichongWang / LSTM-with-Continuous-Wavelet-Transformation-in-Time-Series-Prediction
  ☆16Updated 3 years ago
• EsmeYi / time-series-forcasting
  Using K-NN, SVM, Bayes, LSTM, and multi-variable LSTM models on time series forecasting
  ☆49Updated 5 years ago
• EnowshWong / Multi-step_Multivariate_Time_Series_Prediction
  ☆18Updated 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
• tankwin08 / Bayesian_uncertainty_LSTM
  Bayesian, Uncertainty, Neutral Networks, LSTM, time series
  ☆39Updated 4 years ago
• iLampard / dual_stage_attention_rnn
  A Tensorflow Implementation of Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
  ☆14Updated 5 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
• 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
• 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
• jehillparikh / bayesianLSTM
  Bayesian LSTM (Tensorflow)
  ☆54Updated 2 years ago
• rohitash-chandra / mt-bnn-dts
  Multi-task learning via Bayesian Neural Networks for Dynamic Time Series Prediction
  ☆21Updated 7 years ago
• huddyyeo / soft_attention_LSTM_time_series_forecasting
  soft attention mechanism with lstm neural networks
  ☆16Updated 5 years ago
• zhangxu0307 / time-series-forecasting-keras
  time series forecasting using keras, inlcuding LSTM,RNN,MLP,GRU,SVR and multi-lag training and forecasting method, ICONIP2017 paper.
  ☆119Updated 6 years ago
• flaviagiammarino / deep-tcn-tensorflow
  TensorFlow implementation of DeepTCN model for probabilistic time series forecasting with temporal convolutional networks.
  ☆40Updated last year
• yakouyang / Multilevel_Wavelet_Decomposition_Network_Pytorch
  This project is the pytorch implementation version of Multilevel Wavelet Decomposition Network.
  ☆100Updated 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
• bzantium / EA-LSTM
  EA-LSTM: Evolutionary attention-based LSTM for time series prediction
  ☆37Updated 5 years ago
• zzdzzdzzdzzd / QRMGM_KDE
  A probabilistic forecasting method based on Quantile Regression Minimal Gated Memory Network and Kernel Density Estimation.
  ☆4Updated 5 years ago
• hamishs / ML4F
  Using transformer models to do multi-step equity time series prediction.
  ☆13Updated 4 years ago
• shashwattrivedi / TimeSeriesTransformerLSTM
  ☆26Updated 5 years ago
• Heitao5200 / LSTM-for-Time-Series-Forecasting-Pytorch
  使用LSTM、GRU、BPNN进行时间序列预测。Using LSTM\GRU\BPNN for time series forecasting. (Pytorch Edition)
  ☆57Updated 4 years ago
• kaishxu / qrnn
  QRNN (Quantile Regression Neural Network) Keras version
  ☆24Updated 4 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)
  ☆76Updated 4 years ago
• SophiaWJ / Transfer-learning
  Transfer Knowledge Learned from Multiple Domains for Time-series Data Prediction
  ☆11Updated 7 years ago
• chensvm / A-Dual-Stage-Attention-Based-Recurrent-Neural-Network-for-Time-Series-Prediction
  ☆117Updated 6 years ago