Alternatives and similar repositories for Deep-Neural-Networks-For-Stock-Price-Prediction

Users that are interested in Deep-Neural-Networks-For-Stock-Price-Prediction are comparing it to the libraries listed below

• matheusbfernandes / stock-market-prediction
  Stock Price Prediction using CNN-LSTM
  ☆86Updated 5 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
• ChiYaoLa / TimeSeriesPredict
  used for Stock Prodiction&power prediction&Traffic prediction by ARIMA,xgboost,RNN,LSTM,TCN
  ☆113Updated 5 years ago
• UalwaysKnow / time-series-prediction-with-gan
  stock forecasting with sentiment variables(with lstm as generator and mlp as discriminator)
  ☆36Updated 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 5 years ago
• tranducquy / tcn-fx-price-prediction
  Forex Time-Series Prediction Using TCN
  ☆46Updated 5 years ago
• jsyoon0823 / Time-series-prediction
  Basic RNN, LSTM, GRU, and Attention for time-series prediction
  ☆178Updated 10 months ago
• mansipatel2508 / Stock-Price-Prediction-Time-Series-with-NN
  Predicting the closing stock price given last N days' data that also includes the output feature for CNN & LSTM, while predicting it for …
  ☆10Updated 6 years ago
• 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
  ☆20Updated 4 years ago
• Jingyu-DS / Stock_Index_Prediction_EMD_LSTM
  ☆10Updated 3 years ago
• JeetShah10 / Time-Series-Forecasting-using-NN-LSTM-and-CNN
  Predicted a stock price close of a day based on the last 7 day’s time series data using Neural Network, LSTM and CNN. Found the best numb…
  ☆11Updated 5 years ago
• vietsDeng / Stock-Prediction
  stock predict by cnn and lstm
  ☆39Updated 7 years ago
• sarikayamehmet / cnn-bilstm-attention
  Multivariate Time Series Prediction using Keras (CNN BiLSTM Attention)
  ☆94Updated 4 years ago
• epishova / Neural-Networks-for-time-series-analysis
  Compare how ANNs, RNNs, LSTMs, and LSTMs with attention perform on time-series analysis
  ☆42Updated 7 years ago
• bzantium / EA-LSTM
  EA-LSTM: Evolutionary attention-based LSTM for time series prediction
  ☆39Updated 5 years ago
• t-corato / GA-TCN
  Temporal Convolutional Neural Net for stock selection, using a Genetic Algorithm for feature selection
  ☆33Updated 4 years ago
• shrey920 / MultivariateTimeSeriesForecasting
  This project is an implementation of the paper Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks. The model LSTNe…
  ☆17Updated 6 years ago
• zshicode / Attention-CLX-stock-prediction
  Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction
  ☆395Updated 3 years ago
• Cy743652 / CEEMDAN-LSTM
  ☆38Updated 4 years ago
• LiYouru0228 / EA-LSTM
  EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction
  ☆38Updated 6 years ago
• Corezcy / EEMD-LSTM-DO-Prediction
  EEMD、LSTM、time series prediction、DO、Deep Learning
  ☆88Updated 3 years ago
• PsiPhiTheta / LSTM-Attention
  A Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series
  ☆72Updated 6 years ago
• ru0nan / Queuing-system-optimization
  GA，PSO，LSTM...
  ☆25Updated 7 years ago
• GivyBoy / CEEMDAN-and-LSTM-CNN-CBAM
  This repo holds the implementation the paper 'Forecasting gold price using a novel hybrid model with ICEEMDAN and LSTM-CNN-CBAM', by Yanh…
  ☆50Updated 3 years ago
• shashwattrivedi / TimeSeriesTransformerLSTM
  ☆26Updated 6 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
• 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
• ArcherCYM / CEEMDAN-LSTM
  Paper-Reproduce: (ESWA) Forecasting the realized volatility of stock price index: A hybrid model integrating CEEMDAN and LSTM
  ☆68Updated last year
• chensvm / A-Dual-Stage-Attention-Based-Recurrent-Neural-Network-for-Time-Series-Prediction
  ☆117Updated 7 years ago
• huddyyeo / soft_attention_LSTM_time_series_forecasting
  soft attention mechanism with lstm neural networks
  ☆16Updated 5 years ago