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
  ☆59Updated 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 6 years ago
• HansikaPH / time-series-forecasting
  Recurrent Neural Network Implementations for Time Series Forecasting
  ☆75Updated 3 years ago
• dongkuanx27 / DeepTrends
  Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series (AAAI'20)
  ☆48Updated 3 years ago
• litanli / wavenet-time-series-forecasting
  ☆43Updated last year
• smallGum / MLCNN-Multivariate-Time-Series
  Codes for Multi-Level Construal Neural Network framework
  ☆48Updated 5 years ago
• oneday88 / deepTCN
  ☆157Updated 4 years ago
• PsiPhiTheta / LSTM-Attention
  A Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series
  ☆72Updated 6 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 6 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)
  ☆78Updated 5 years ago
• albertogaspar / dts
  A Keras library for multi-step time-series forecasting.
  ☆185Updated 2 years ago
• sydney-machine-learning / deeplearning_timeseries
  Evaluation of shallow and deep learning models for multi-step-ahead time series prediction
  ☆64Updated 4 years ago
• drzhang3 / DeepTimeSeriesModel
  A paper list for Time series modelling, including prediciton and anomaly detection
  ☆94Updated 5 years ago
• LiYouru0228 / EA-LSTM
  EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction
  ☆39Updated 6 years ago
• 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
• sunfanyunn / DARNN
  A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
  ☆111Updated last year
• 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
• YitongCU / Duel-staged-Attention-for-NYC-Weather-prediction
  Dual Staged Attention Model for Time Series prediction
  ☆66Updated 7 years ago
• abrvkh / WaveNet_simple
  A simple implementation of the WaveNet model for time series forecasting
  ☆26Updated 7 years ago
• chensvm / A-Dual-Stage-Attention-Based-Recurrent-Neural-Network-for-Time-Series-Prediction
  ☆117Updated 7 years ago
• firmai / mtss-gan
  MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)
  ☆94Updated 5 years ago
• Vsooong / multivariate-prediction
  time-series-predictoin(LSTNet,SAB,Transformer...)
  ☆143Updated 6 years ago
• yicjia / DeepQuantreg
  Deep Learning for Quantile Regression under Right Censoring
  ☆28Updated 3 years ago
• rohitash-chandra / mt-bnn-dts
  Multi-task learning via Bayesian Neural Networks for Dynamic Time Series Prediction
  ☆21Updated 7 years ago
• iLampard / dual_stage_attention_rnn
  A Tensorflow Implementation of Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
  ☆14Updated 5 years 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
• jehillparikh / bayesianLSTM
  Bayesian LSTM (Tensorflow)
  ☆55Updated 2 years ago
• fbadine / LSTNet
  A Tensorflow / Keras implementation of "Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks" paper
  ☆177Updated 3 years ago
• pedrolarben / TimeSeriesForecasting-DeepLearning
  An experiemtal review on deep learning architectures for time series forecasting
  ☆138Updated 4 years ago
• bperezorozco / ordinal_tsf
  ☆29Updated 5 years ago