Alternatives and similar repositories for MI-LSTM

Users that are interested in MI-LSTM are comparing it to the libraries listed below

• iLampard / dual_stage_attention_rnn
  A Tensorflow Implementation of Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
  ☆14Updated 5 years ago
• dhamvi01 / Univariate-Time-Series-using-LSTM
  ☆10Updated 7 months ago
• ThibautTheate / Unconstrained-Monotonic-Deep-Q-Network-algorithm
  Official implementation of the UMDQN algorithm presented in the scientific research paper entitled "Distributional Reinforcement Learning…
  ☆11Updated 3 years ago
• yashbonde / Reinforcement-Learning-Stocks
  Applying Reinforcement learning models for stock price predictions
  ☆25Updated 6 years ago
• shoumo95 / Stock_Prediction_Model_using_Attention_Multilayer_RNN_LSTM
  RNN - Stock Prediction Model using Attention Multilayer Recurrent Neural Networks with LSTM Cells
  ☆40Updated 8 years ago
• PsiPhiTheta / LSTM-Attention
  A Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series
  ☆72Updated 6 years ago
• louisenaud / stock_prediction
  Pytorch implentation of stock prediction via LSTMs
  ☆26Updated 7 years ago
• litanli / wavenet-time-series-forecasting
  ☆43Updated last year
• 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
• comeh / DeepLearningForMDPs
  Some codes used for the numerical examples proposed in https://arxiv.org/abs/1812.05916
  ☆14Updated 6 years ago
• chandc / Inverse_Reinforcement_Learning_for_Stocks
  Implement the model of Halperin and Feldshteyn for DJIA and SP500
  ☆10Updated 6 years ago
• dksifoua / Stock-Market-Prediction
  Stock Market Prediction on High-Frequency Data Using soft computing based AI models
  ☆21Updated last year
• Jogima-cyber / portfolio-manager
  Python DQN for practicable portfolio management
  ☆12Updated 5 years ago
• ashwinbhola / Stock-prediction-Dual-Attention-based-RNN-
  Financial time series forecast using dual attention RNN
  ☆27Updated 6 years ago
• chengy6324 / LSTM_LRP_factor
  使用LSTM及股票因子数据预测未来收益，使用LRP(layer-wise relevance propagation)增强网络可解释性
  ☆29Updated 6 years ago
• giamuhammad / ga_aco_opt_on_anfis_svm
  Forecasting for Istanbul Stock Exchange with ANFIS and SVM based on Genetic and Ant Colony Algorithm for Parameter Optimization
  ☆16Updated 7 years ago
• awilliea / Risk-based_RL_for_Optimal_Trading_Execution
  ☆19Updated 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
• jiewwantan / RNN_LSTM_trading_model
  This project explores stock trading modelling with the use recurrent neural network (RNN) with long-short term memory (LSTM) architecture…
  ☆27Updated 6 years ago
• freddiev4 / financial-ts-prediction-with-deeplearning
  (Work In Progress) Implementation of "Financial Time Series Prediction Using Deep Learning"
  ☆16Updated 7 years ago
• BorjaGomezSolorzano / deep-trader
  Deep Reinforcement Learning applied to trading
  ☆15Updated 6 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
  ☆18Updated last year
• 3catz / deeplearning_timeseries
  Deep Learning + Time Series Analysis
  ☆27Updated 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)
  ☆77Updated 5 years ago
• JoshuaWu1997 / EMD-ALSTM-Multi-Factor-Stock-Profit-Prediction
  Multi-Factor Stock Profit Prediction Using EMD-ALSTM
  ☆29Updated 5 years ago
• viebboy / TABL
  Temporal Attention-Augmented Bilinear Network for Financial Time-Series Data Analysis
  ☆36Updated 6 years ago
• zhoutf / finance_gan
  Wasserstein GAN with gradient penalty (WGAN-GP) applied to financial time series.
  ☆17Updated 6 years ago
• Schlam / LSTM-time-series-forecasting
  Predicting the behavior of $BTC-USD by training a memory-based neural net on historical data
  ☆42Updated 4 years ago
• YukiYasuda2718 / rl-bsmodel-with-costs
  Option hedging strategies are investigated using two reinforcement learning algorithms: deep Q network and deep deterministic policy grad…
  ☆21Updated 5 years ago
• YinchuanLl / Reinforcement-learning-for-portfolio-allocation
  Optimistic Bull or Pessimistic Bear: Adaptive Deep Reinforcement Learning for Stock Portfolio Allocation
  ☆37Updated 6 years ago