Alternatives and similar repositories for LSTM_LRP_factor

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

• t-corato / GA-TCN
  Temporal Convolutional Neural Net for stock selection, using a Genetic Algorithm for feature selection
  ☆33Updated 5 years ago
• MirandaLLLL / TCN-in-stock-prices-prediction
  用TCN 进行股票预测
  ☆10Updated 3 years ago
• cxdsz / stock-price-prediction-algorithms
  使用随机森林、bp神经网络、LSTM神经网络、GRU对股票收盘价进行回归预测。Random forest, BP neural network, LSTM neural network and GRU are used to predict the closing pric…
  ☆53Updated 5 years ago
• arleigh418 / Base-On-Relation-Method-Extract-News-DA-RNN-Model-For-Stock-Prediction--Pytorch
  基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測
  ☆47Updated 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)
  ☆78Updated 5 years ago
• zhoutf / finance_gan
  Wasserstein GAN with gradient penalty (WGAN-GP) applied to financial time series.
  ☆17Updated 7 years ago
• anmoltigga / GA-LSTM
  Python notebook implementation of hyperparameter tuning of LSTM deep learning model using Genetic algorithm
  ☆22Updated 4 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
• z1103246 / LSTM-CNN-Stock-Prediction
  An attempt to implement the idea behind this paper: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0212320
  ☆21Updated 4 years ago
• JoshuaWu1997 / EMD-ALSTM-Multi-Factor-Stock-Profit-Prediction
  Multi-Factor Stock Profit Prediction Using EMD-ALSTM
  ☆29Updated 6 years ago
• grudloff / stock_market_GAN
  Reproduction of code described in the paper "Stock Market Prediction Based on Generative Adversarial Network" by Kang Zhang et al.
  ☆28Updated 5 years ago
• UalwaysKnow / time-series-prediction-with-gan
  stock forecasting with sentiment variables(with lstm as generator and mlp as discriminator)
  ☆36Updated 6 years ago
• a-bean-sprout / XGBoost_StockPricePredict
  Attempt to use XGBoost in stock price prediction
  ☆91Updated 5 years ago
• SnehJain / Deep-Neural-Networks-For-Stock-Price-Prediction
  Comparative Analysis of Conv1D-LSTM with CNN , LSTM for Stock Price Prediction
  ☆64Updated 7 years ago
• shannonycj / convolutional-autoencoder-trading
  A CNN + Auto-Encoder Approach for Predicting Financial Time-Series
  ☆12Updated 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 last week
• zhaoyizhaoyi / icdm_wavelet_attention
  combine wavelet transform and attention mechanism for time series forecasting or classification
  ☆29Updated 7 years ago
• matheusbfernandes / stock-market-prediction
  Stock Price Prediction using CNN-LSTM
  ☆89Updated 5 years ago
• PsiPhiTheta / LSTM-Attention
  A Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series
  ☆72Updated 7 years ago
• Hamid-Nasiri / VMD-MFRFNN
  VMD-MFRFNN
  ☆57Updated 2 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
• Ru-Yan / Sharpe-LSTM-Investment-Model
  The research provides effective management strategies for different asset portfolios in the financial sector by building models. The VMD-…
  ☆20Updated 3 years ago
• beathahahaha / LSTM-
  LSTM长短期记忆模型预测股票涨跌
  ☆14Updated 5 years ago
• ru0nan / Queuing-system-optimization
  GA，PSO，LSTM...
  ☆26Updated 7 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
• QikaiXu / Stock-Forecasting
  股票预测，Pytorch，LSTM。
  ☆17Updated 4 years ago
• eliotwalt / gaf-cnn
  Multivariate timeseries to multivariate timeseries convolution regressor based on the article "Encoding Time Series as Images for Visual …
  ☆48Updated 4 years ago
• Wentao-Xu / IGMTF
  The source code and data of the paper "Instance-wise Graph-based Framework for Multivariate Time Series Forecasting".
  ☆33Updated 4 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
• 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