Alternatives and similar repositories for time-series:

Users that are interested in time-series are comparing it to the libraries listed below

• lpphd / multivariate-attention-tcn
  ☆94Updated 2 years ago
• BLarzalere / Temporal-Fusion-Transformer
  Probabilistic Forecast of a Multivariate Time Series using the Temporal Fusion Transformer & PyTorch Lightning
  ☆17Updated 2 years ago
• mounalab / Multivariate-time-series-forecasting-keras
  This project provides implementations with Keras/Tensorflow of some deep learning algorithms for Multivariate Time Series Forecasting: Tr…
  ☆75Updated 3 years ago
• h3ik0th / TFT_darts
  probabilistic forecasting with Temporal Fusion Transformer
  ☆40Updated 3 years ago
• louisyuzhe / deeplearning_forecast
  Application of deep learning model (Temporal Fusion Transformer) to forecast time-series data
  ☆33Updated 4 years ago
• pedrolarben / TimeSeriesForecasting-DeepLearning
  An experiemtal review on deep learning architectures for time series forecasting
  ☆137Updated 3 years ago
• sm823zw / Stock-Market-Index-Prediction
  This repo deals with time series prediction using LSTMs. An encoder-decoder architecture was used for this purpose. A dual-stage attentio…
  ☆24Updated 3 years ago
• PsiPhiTheta / LSTM-Attention
  A Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series
  ☆73Updated 6 years ago
• jsyoon0823 / Time-series-prediction
  Basic RNN, LSTM, GRU, and Attention for time-series prediction
  ☆169Updated 5 months ago
• ashishpatel26 / tcn-keras-Examples
  This repository contains example of keras-tcn on easy way.
  ☆56Updated 4 years ago
• flaviagiammarino / deep-tcn-tensorflow
  TensorFlow implementation of DeepTCN model for probabilistic time series forecasting with temporal convolutional networks.
  ☆39Updated last year
• at-tan / Forecasting_Air_Pollution
  Stacking a machine learning ensemble for multivariate time series forecasting, with the goal of predicting the one-period ahead PM 2.5 ai…
  ☆44Updated 3 years ago
• FilippoMB / Ensemble-Conformalized-Quantile-Regression
  Valid and adaptive prediction intervals for probabilistic time series forecasting.
  ☆91Updated last month
• ashrafalaghbari / GA-TCN-LSTM
  An Ensemble DL Model Tuned with Genetic Algorithm for Oil Production Forecasting.
  ☆67Updated last year
• NshanPotikyan / TransferLearningTimeSeries
  Transfer Learning for Time Series Prediction Task
  ☆104Updated 5 years ago
• tranducquy / tcn-fx-price-prediction
  Forex Time-Series Prediction Using TCN
  ☆44Updated 5 years ago
• stevinc / Transformer_Timeseries
  Pytorch code for Google's Temporal Fusion Transformer
  ☆93Updated 2 years ago
• sunjoshi1991 / Time-Series-Forecasting-using-LSTM
  Predicting future temperature using univariate and multivariate features using techniques like Moving window average and LSTM(single and …
  ☆58Updated 10 months ago
• sydney-machine-learning / deeplearning_timeseries
  Evaluation of shallow and deep learning models for multi-step-ahead time series prediction
  ☆58Updated 3 years ago
• sashanksridhar / Multi-Head-Self-Attention-Transformer-for-Dogecoin-Price-Prediction
  ☆10Updated 3 years ago
• msunil10052 / Multivariate-Time-Series-Forecasting
  Repository for Machine Learning and Deep Learning Models for Multivariate Time Series Forecasting
  ☆19Updated 5 years ago
• kasungayan / LSTMMSNet
  ☆41Updated 3 years ago
• firmai / mtss-gan
  MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)
  ☆93Updated 4 years ago
• lixixibj / forecasting-with-time-series-imaging
  time series forecasting with image
  ☆46Updated last year
• sarikayamehmet / cnn-bilstm-attention
  Multivariate Time Series Prediction using Keras (CNN BiLSTM Attention)
  ☆86Updated 4 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
• 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:…
  ☆32Updated 11 months ago
• deKeijzer / Multivariate-time-series-models-in-Keras
  This repository contains a throughout explanation on how to create different deep learning models in Keras for multivariate (tabular) tim…
  ☆139Updated 6 years ago
• zhaoyizhaoyi / icdm_wavelet_attention
  combine wavelet transform and attention mechanism for time series forecasting or classification
  ☆29Updated 6 years ago
• litanli / wavenet-time-series-forecasting
  ☆41Updated last year