Alternatives and similar repositories for deep-forecast-pytorch

Users that are interested in deep-forecast-pytorch are comparing it to the libraries listed below

• 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.
  ☆120Updated 6 years ago
• zhangxu0307 / time_series_forecasting_pytorch
  time series forecasting using pytorch，including ANN,RNN,LSTM,GRU and TSR-RNN，experimental code
  ☆410Updated 6 years ago
• albertogaspar / dts
  A Keras library for multi-step time-series forecasting.
  ☆184Updated 2 years ago
• Jeevesh8 / GHI-prediction
  PyTorch Code for running various time series models for different time stamps and confidence intervals for Solar Irradiance prediction.
  ☆57Updated 5 years ago
• jsyoon0823 / Time-series-prediction
  Basic RNN, LSTM, GRU, and Attention for time-series prediction
  ☆177Updated 10 months ago
• chensvm / A-Dual-Stage-Attention-Based-Recurrent-Neural-Network-for-Time-Series-Prediction
  ☆117Updated 7 years ago
• abis330 / PredAir
  Forecasting air pollution using temporal attention mechanism in Beijing
  ☆48Updated 5 years ago
• PotatoThanh / Bidirectional-LSTM-and-Convolutional-Neural-Network-For-Temperature-Prediction
  We use weather data of Ulsan, Korea from 1980 to 2017 to predict temperature.
  ☆85Updated 4 years ago
• bighuang624 / DSANet
  Code for the CIKM 2019 paper "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting".
  ☆260Updated last year
• spdin / time-series-prediction-lstm-pytorch
  Time Series Prediction with LSTM Using PyTorch
  ☆210Updated 6 years ago
• 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 2 years ago
• xbfu / Spatiotemporal-Attention-Networks
  Spatiotemporal Attention Networks for Wind Power Forecasting
  ☆76Updated 5 years ago
• demmojo / lstm-electric-load-forecast
  Electric load forecast using Long-Short-Term-Memory (LSTM) recurrent neural network
  ☆82Updated 5 years ago
• EsmeYi / time-series-forcasting
  Using K-NN, SVM, Bayes, LSTM, and multi-variable LSTM models on time series forecasting
  ☆51Updated 6 years ago
• PatientEz / keras-attention-mechanism
  the extension of https://github.com/philipperemy/keras-attention-mechanism , create a new scipt to add attetion to input dimensions rath…
  ☆78Updated last year
• bzantium / EA-LSTM
  EA-LSTM: Evolutionary attention-based LSTM for time series prediction
  ☆38Updated 5 years ago
• houshd / LSTM-FCN
  Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification
  ☆141Updated 6 years ago
• ashishpatel26 / tcn-keras-Examples
  This repository contains example of keras-tcn on easy way.
  ☆57Updated 4 years ago
• fbadine / LSTNet
  A Tensorflow / Keras implementation of "Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks" paper
  ☆176Updated 3 years ago
• oneday88 / deepTCN
  ☆158Updated 3 years ago
• smallGum / MLCNN-Multivariate-Time-Series
  Codes for Multi-Level Construal Neural Network framework
  ☆48Updated 4 years ago
• Liut2016 / AwesomeDeepLearningGuidance-TimeSeriesData
  Application guidance of deep learning models(CNN, RNN, LSTNet and so on) on time series data
  ☆28Updated 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
• bhpfelix / PyTorch-Time-Series-Classification-Benchmarks
  Time Series Classification Benchmark with LSTM, VGG, ResNet
  ☆60Updated 7 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
• yalickj / load-forecasting-resnet
  short-term load forecasting with deep residual networks
  ☆97Updated 4 years ago
• EnowshWong / Multi-step_Multivariate_Time_Series_Prediction
  ☆18Updated 6 years ago
• Luoyonghong / Multivariate-Time-Series-Imputation-with-Generative-Adversarial-Networks
  NIPS2018 paper
  ☆192Updated 6 years ago
• Vsooong / multivariate-prediction
  time-series-predictoin(LSTNet,SAB,Transformer...)
  ☆142Updated 6 years ago
• titu1994 / MLSTM-FCN
  Multivariate LSTM Fully Convolutional Networks for Time Series Classification
  ☆511Updated 5 years ago