Alternatives and similar repositories for deepdirtycodes:

Users that are interested in deepdirtycodes are comparing it to the libraries listed below

• spallas / time-attention
  Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971
  ☆60Updated 2 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
• LiYouru0228 / EA-LSTM
  EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction
  ☆38Updated 5 years ago
• litanli / wavenet-time-series-forecasting
  ☆40Updated 10 months ago
• abis330 / PredAir
  Forecasting air pollution using temporal attention mechanism in Beijing
  ☆47Updated 4 years ago
• petroniocandido / PhdThesis
  Scalable Models of Probabilistic Forecasting with Fuzzy Time Series, PhD Thesis
  ☆11Updated 2 years ago
• smallGum / MLCNN-Multivariate-Time-Series
  Codes for Multi-Level Construal Neural Network framework
  ☆49Updated 4 years ago
• zwd2016 / multivariate-time-series-prediction
  This code is the implementation of this paper (Multistage attention network for multivariate time series prediction)
  ☆23Updated 4 years ago
• sydney-machine-learning / deeplearning_timeseries
  Evaluation of shallow and deep learning models for multi-step-ahead time series prediction
  ☆57Updated 3 years ago
• bzantium / EA-LSTM
  EA-LSTM: Evolutionary attention-based LSTM for time series prediction
  ☆36Updated 5 years ago
• dongkuanx27 / DeepTrends
  Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series (AAAI'20)
  ☆47Updated 3 years ago
• ivivan / SSIM_Seq2Seq
  SSIM - A Deep Learning Approach for Recovering Missing Time Series Sensor Data
  ☆40Updated 3 years ago
• kaishxu / qrnn
  QRNN (Quantile Regression Neural Network) Keras version
  ☆24Updated 4 years ago
• abrvkh / WaveNet_simple
  A simple implementation of the WaveNet model for time series forecasting
  ☆26Updated 6 years ago
• salmansust / TimeSeries-LSTM
  In this project I developed LSTM models for uni-variate , multivariate , multi-step time series forecasting.
  ☆11Updated 4 years ago
• KurochkinAlexey / DA-RNN
  Pytorch implementation of Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction https://arxiv.org/pdf/1704.02971…
  ☆38Updated 5 years ago
• bgithub1 / da_rnn
  RNN based on Chandler Zuo's implementation of the paper: A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
  ☆19Updated 6 months ago
• Regressionist / Stock-prediction-Dual-Attention-based-RNN-
  Financial time series forecast using dual attention RNN
  ☆26Updated 6 years ago
• HansikaPH / time-series-forecasting
  Recurrent Neural Network Implementations for Time Series Forecasting
  ☆73Updated 3 years ago
• husnejahan / Temporal-CNN
  Probabilistic Forecasting with Temporal Convolutional Neural Network
  ☆11Updated 5 years ago
• abdullahf / lstm-kalman-hybrid-timeseries
  Hybrid Time Series using LSTM and Kalman Filtering
  ☆38Updated last year
• ashishpatel26 / tcn-keras-Examples
  This repository contains example of keras-tcn on easy way.
  ☆57Updated 4 years ago
• EnowshWong / Multi-step_Multivariate_Time_Series_Prediction
  ☆18Updated 5 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)
  ☆77Updated 4 years ago
• ostadabbas / DSARF
  DSARF: Deep Switching Auto-Regressive Factorization: Application to Time Series Forecasting (AAAI2021)
  ☆23Updated 3 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
• Jeevesh8 / GHI-prediction
  PyTorch Code for running various time series models for different time stamps and confidence intervals for Solar Irradiance prediction.
  ☆55Updated 4 years ago
• KurochkinAlexey / ConvRNN
  Pytorch implementation of Autoregressive Convolutional Recurrent Neural Network for Univariate and Multivariate Time Series Prediction ht…
  ☆42Updated 5 years ago
• YitongCU / Duel-staged-Attention-for-NYC-Weather-prediction
  Dual Staged Attention Model for Time Series prediction
  ☆67Updated 7 years ago
• masatakashiwagi / analysis-tslearn
  Clustering using tslearn for Time Series Data.
  ☆49Updated 2 years ago