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.
  ☆119Updated 6 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
• 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".
  ☆262Updated last year
• jsyoon0823 / Time-series-prediction
  Basic RNN, LSTM, GRU, and Attention for time-series prediction
  ☆181Updated last year
• abis330 / PredAir
  Forecasting air pollution using temporal attention mechanism in Beijing
  ☆50Updated 5 years ago
• zhangxu0307 / time_series_forecasting_pytorch
  time series forecasting using pytorch，including ANN,RNN,LSTM,GRU and TSR-RNN，experimental code
  ☆415Updated 6 years ago
• albertogaspar / dts
  A Keras library for multi-step time-series forecasting.
  ☆185Updated 2 years ago
• chensvm / A-Dual-Stage-Attention-Based-Recurrent-Neural-Network-for-Time-Series-Prediction
  ☆117Updated 7 years ago
• spdin / time-series-prediction-lstm-pytorch
  Time Series Prediction with LSTM Using PyTorch
  ☆213Updated 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 3 years ago
• BruceBinBoxing / Deep_Learning_Weather_Forecasting
  Deep Learning for Weather Forecasting, accepted applied data science of KDD 2019
  ☆95Updated 2 years ago
• Luoyonghong / Multivariate-Time-Series-Imputation-with-Generative-Adversarial-Networks
  NIPS2018 paper
  ☆194Updated 6 years ago
• demmojo / lstm-electric-load-forecast
  Electric load forecast using Long-Short-Term-Memory (LSTM) recurrent neural network
  ☆86Updated 6 years ago
• bzantium / EA-LSTM
  EA-LSTM: Evolutionary attention-based LSTM for time series prediction
  ☆40Updated 5 years ago
• xbfu / Spatiotemporal-Attention-Networks
  Spatiotemporal Attention Networks for Wind Power Forecasting
  ☆78Updated 6 years ago
• yalickj / load-forecasting-resnet
  short-term load forecasting with deep residual networks
  ☆103Updated 4 years ago
• oneday88 / deepTCN
  ☆157Updated 4 years ago
• Liut2016 / AwesomeDeepLearningGuidance-TimeSeriesData
  Application guidance of deep learning models(CNN, RNN, LSTNet and so on) on time series data
  ☆28Updated 6 years ago
• amirstar / Deep-Forecast
  The code of the paper 'Deep Forecast : Deep Learning-based Spatio-Temporal Forecasting", ICML Time Series Workshop 2017.
  ☆119Updated 5 years ago
• yakouyang / Multilevel_Wavelet_Decomposition_Network_Pytorch
  This project is the pytorch implementation version of Multilevel Wavelet Decomposition Network.
  ☆100Updated 7 years ago
• Vsooong / multivariate-prediction
  time-series-predictoin(LSTNet,SAB,Transformer...)
  ☆143Updated 6 years ago
• ashishpatel26 / tcn-keras-Examples
  This repository contains example of keras-tcn on easy way.
  ☆57Updated 5 years ago
• YitongCU / Duel-staged-Attention-for-NYC-Weather-prediction
  Dual Staged Attention Model for Time Series prediction
  ☆66Updated 8 years ago
• Yunbo426 / MIM
  Code release for "Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics" …
  ☆154Updated 6 years ago
• jjdabr / forecastNet
  Code for the paper entitled "ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-Step-Ahead Time-Series F…
  ☆96Updated 4 years ago
• drewthayer / time-series-forecasting-CNN
  Using a convolutional neural net for time series forecasting
  ☆20Updated 7 years ago
• EsmeYi / time-series-forcasting
  Using K-NN, SVM, Bayes, LSTM, and multi-variable LSTM models on time series forecasting
  ☆52Updated 6 years ago
• StoicGilgamesh / LSTM-GAN-
  The LSTM GAN model can be used for generation of synthetic multi-dimension time series data.
  ☆38Updated 6 years ago
• yyqcs / time-series-model
  Model time series with multiple methods,including ARIMA ,ES,RNN,LSTM...
  ☆32Updated last year