Alternatives and similar repositories for deepdirtycodes

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

• 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
• litanli / wavenet-time-series-forecasting
  ☆43Updated last year
• smallGum / MLCNN-Multivariate-Time-Series
  Codes for Multi-Level Construal Neural Network framework
  ☆48Updated 4 years ago
• dongkuanx27 / DeepTrends
  Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series (AAAI'20)
  ☆48Updated 3 years ago
• abrvkh / WaveNet_simple
  A simple implementation of the WaveNet model for time series forecasting
  ☆26Updated 7 years ago
• HansikaPH / time-series-forecasting
  Recurrent Neural Network Implementations for Time Series Forecasting
  ☆74Updated 3 years ago
• 3catz / deeplearning_timeseries
  Deep Learning + Time Series Analysis
  ☆27Updated 6 years ago
• bperezorozco / ordinal_tsf
  ☆29Updated 5 years ago
• spallas / time-attention
  Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971
  ☆59Updated 2 years ago
• kaishxu / qrnn
  QRNN (Quantile Regression Neural Network) Keras version
  ☆24Updated 4 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)
  ☆76Updated 4 years ago
• PsiPhiTheta / LSTM-Attention
  A Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series
  ☆72Updated 6 years ago
• KurochkinAlexey / Self-boosted-Time-series-Forecasting
  Pytorch implementation of "Self-boosted Time-series Forecasting with Multi-task and Multi-view Learning" https://arxiv.org/pdf/1909.08181…
  ☆31Updated 5 years ago
• ashishpatel26 / tcn-keras-Examples
  This repository contains example of keras-tcn on easy way.
  ☆57Updated 4 years ago
• abdullahf / lstm-kalman-hybrid-timeseries
  Hybrid Time Series using LSTM and Kalman Filtering
  ☆43Updated 2 years ago
• masatakashiwagi / analysis-tslearn
  Clustering using tslearn for Time Series Data.
  ☆49Updated 2 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
• bzantium / EA-LSTM
  EA-LSTM: Evolutionary attention-based LSTM for time series prediction
  ☆37Updated 5 years ago
• husnejahan / Temporal-CNN
  Probabilistic Forecasting with Temporal Convolutional Neural Network
  ☆11Updated 5 years ago
• benman1 / time-series
  Time-Series models for multivariate and multistep forecasting, regression, and classification
  ☆62Updated 3 years ago
• sydney-machine-learning / deeplearning_timeseries
  Evaluation of shallow and deep learning models for multi-step-ahead time series prediction
  ☆60Updated 3 years ago
• manohar029 / TimeSeries-Seq2Seq-deepLSTMs-Keras
  This project aims to give you an introduction to how Seq2Seq based encoder-decoder neural network architectures can be applied on time se…
  ☆42Updated 6 years ago
• LiYouru0228 / EA-LSTM
  EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction
  ☆38Updated 6 years ago
• rohitash-chandra / mt-bnn-dts
  Multi-task learning via Bayesian Neural Networks for Dynamic Time Series Prediction
  ☆21Updated 7 years ago
• zwd2016 / multivariate-time-series-prediction
  This code is the implementation of this paper (Multistage attention network for multivariate time series prediction)
  ☆23Updated 5 years ago
• ivivan / SSIM_Seq2Seq
  SSIM - A Deep Learning Approach for Recovering Missing Time Series Sensor Data
  ☆39Updated 3 years ago
• drewthayer / time-series-forecasting-CNN
  Using a convolutional neural net for time series forecasting
  ☆20Updated 6 years ago
• samluxenberg1 / Time-Series-Forecasting-with-Wavelets
  ☆48Updated 7 years ago
• lixixibj / forecasting-with-time-series-imaging
  time series forecasting with image
  ☆46Updated last year
• iLampard / dual_stage_attention_rnn
  A Tensorflow Implementation of Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
  ☆14Updated 5 years ago