Alternatives and similar repositories for prediction-interval-NN

Users that are interested in prediction-interval-NN are comparing it to the libraries listed below

• LiYouru0228 / EA-LSTM
  EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction
  ☆40Updated 6 years ago
• kaishxu / qrnn
  QRNN (Quantile Regression Neural Network) Keras version
  ☆25Updated 5 years ago
• tony-psq / QRMGM_KDE
  A probabilistic forecasting method based on Quantile Regression Minimal Gated Memory Network and Kernel Density Estimation.
  ☆21Updated 6 years ago
• oneday88 / deepTCN
  ☆158Updated 4 years ago
• daveo30 / Wind-Power-Forecasting
  Forecasting the power generated by wind turbines using Deep Neural Networks and Clustering Approach
  ☆22Updated 3 years ago
• KevinHooah / BayesianLSTM-for-Time-series-Prediction
  Bayesian LSTM for time-series prediction.
  ☆19Updated 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.
  ☆60Updated 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
• abis330 / PredAir
  Forecasting air pollution using temporal attention mechanism in Beijing
  ☆50Updated 5 years ago
• DuaneNielsen / DualAttentionSeq2Seq
  Analysis of Time Series data using Seq2Seq LSTM and 2 attention layers
  ☆16Updated 7 years ago
• lpphd / multivariate-attention-tcn
  ☆99Updated 2 years ago
• getBolted / LoadPredicting
  ARIMA, DBN,FFNN,GBRT,LSTM,RFR,SEQ2SEQ,SVR,XGBOOST
  ☆22Updated 6 years ago
• xbfu / Spatiotemporal-Attention-Networks
  Spatiotemporal Attention Networks for Wind Power Forecasting
  ☆78Updated 6 years ago
• albertogaspar / dts
  A Keras library for multi-step time-series forecasting.
  ☆185Updated 2 years ago
• flaviagiammarino / deep-tcn-tensorflow
  TensorFlow implementation of DeepTCN model for probabilistic time series forecasting with temporal convolutional networks.
  ☆40Updated last year
• mitre7 / ngboost_pv_forecasting
  An interpretable probabilistic model for short-term solar power forecasting using natural gradient boosting
  ☆15Updated 4 years ago
• SophiaWJ / Transfer-learning
  Transfer Knowledge Learned from Multiple Domains for Time-series Data Prediction
  ☆12Updated 7 years ago
• akyadav26 / Time-Series-Forecast-with-Deep-Hybrid-Architecture
  Multivariate time-series forecasting with LSTNET and soft-DTW loss
  ☆31Updated 5 years ago
• Corezcy / EEMD-LSTM-DO-Prediction
  EEMD、LSTM、time series prediction、DO、Deep Learning
  ☆90Updated 4 years ago
• Luoyonghong / Multivariate-Time-Series-Imputation-with-Generative-Adversarial-Networks
  NIPS2018 paper
  ☆193Updated 6 years ago
• salmansust / TimeSeries-LSTM
  In this project I developed LSTM models for uni-variate , multivariate , multi-step time series forecasting.
  ☆11Updated 5 years ago
• Lorne0 / LSTNet_keras
  Keras version of LSTNet
  ☆96Updated 6 years ago
• FateMurphy / CEEMDAN-VMD-GRU
  CEEMDAN-VMD-LSTM Forecasting model (a light version of CEEMDAN_LSTM)
  ☆107Updated 3 years ago
• superkailang / WPP2012
  A combined LSTM and LightGBM framework for improving deterministic and probabilistic wind energy forecasting
  ☆35Updated 5 years ago
• kaelzhang / DA-RNN-in-Tensorflow-2-and-PyTorch
  A Tensorflow 2 (Keras) implementation of DA-RNN (A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction, arXiv:…
  ☆31Updated last year
• IvanBongiorni / GAN-RNN_Timeseries-imputation
  Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.
  ☆174Updated 3 years ago
• husnejahan / Temporal-CNN
  Probabilistic Forecasting with Temporal Convolutional Neural Network
  ☆11Updated 6 years ago
• Vsooong / multivariate-prediction
  time-series-predictoin(LSTNet,SAB,Transformer...)
  ☆143Updated 7 years ago
• UalwaysKnow / time-series-prediction-with-gan
  stock forecasting with sentiment variables(with lstm as generator and mlp as discriminator)
  ☆36Updated 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 7 years ago