Alternatives and similar repositories for Stock-Market-Index-Prediction:

Users that are interested in Stock-Market-Index-Prediction are comparing it to the libraries listed below

• lpphd / multivariate-attention-tcn
  ☆93Updated 2 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…
  ☆48Updated 2 years ago
• mounalab / Multivariate-time-series-forecasting-keras
  This project provides implementations with Keras/Tensorflow of some deep learning algorithms for Multivariate Time Series Forecasting: Tr…
  ☆75Updated 2 years ago
• flaviagiammarino / deep-tcn-tensorflow
  TensorFlow implementation of DeepTCN model for probabilistic time series forecasting with temporal convolutional networks.
  ☆38Updated 11 months ago
• ashrafalaghbari / GA-TCN-LSTM
  An Ensemble DL Model Tuned with Genetic Algorithm for Oil Production Forecasting.
  ☆64Updated last year
• jsyoon0823 / Time-series-prediction
  Basic RNN, LSTM, GRU, and Attention for time-series prediction
  ☆168Updated 5 months ago
• FateMurphy / CEEMDAN_LSTM
  CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD methods and LSTM.
  ☆248Updated 3 weeks ago
• flaviagiammarino / time-gan-tensorflow
  TensorFlow implementation of TimeGAN model for synthetic time series generation with generative adversarial networks.
  ☆31Updated 11 months ago
• tranducquy / tcn-fx-price-prediction
  Forex Time-Series Prediction Using TCN
  ☆44Updated 5 years ago
• UalwaysKnow / time-series-prediction-with-gan
  stock forecasting with sentiment variables(with lstm as generator and mlp as discriminator)
  ☆35Updated 5 years ago
• FateMurphy / CEEMDAN-VMD-GRU
  CEEMDAN-VMD-LSTM Forecasting model (a light version of CEEMDAN_LSTM)
  ☆89Updated 2 years ago
• takumiw / Time-Series-Demand-Forecasting
  Time-series demand forecasting is constructed by using LSTM, GRU, LSTM with seq2seq architecture, and prophet models.
  ☆30Updated 4 years ago
• Ray-0403 / superblack.github.io
  A novel time series forecasting model, called CEEMDAN-TCN.
  ☆11Updated 3 years ago
• rodgdutra / CNN-LSTM_gold_price
  Python implementation of the paper "A CNN–LSTM model for gold price time-series forecasting". Published in Neural Computing and Applicati…
  ☆17Updated 3 years ago
• ChiYaoLa / TimeSeriesPredict
  used for Stock Prodiction&power prediction&Traffic prediction by ARIMA,xgboost,RNN,LSTM,TCN
  ☆104Updated 5 years ago
• quovadisss / TimeSeriesForecasting_AI_team1
  Seoultech AI Class Team Project
  ☆11Updated 3 years ago
• BatchClayderman / CEEMDAN-SE-GWO-LSTM
  ☆23Updated 2 months ago
• bzantium / EA-LSTM
  EA-LSTM: Evolutionary attention-based LSTM for time series prediction
  ☆36Updated 5 years ago
• LiYouru0228 / EA-LSTM
  EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction
  ☆38Updated 6 years ago
• WuZK96 / X12-ARIMA-ICEEMDAN-FCM-FTS
  ☆25Updated 3 years ago
• ritikdhame / Electricity_Demand_and_Price_forecasting
  Building Time series forecasting models, including the XGboost Regressor, GRU (Gated Recurrent Unit), LSTM (Long Short-Term Memory), CNN …
  ☆62Updated last year
• EnbinYang / tb_prediction_files
  A multivariate multi-step LSTM forecasting model for tuberculosis incidence with model explanation
  ☆27Updated 2 years ago
• irenekarijadi / CEEMDAN-EWT-LSTM
  Wind Power Forecasting Based on Hybrid CEEMDAN-EWT Deep Learning Method
  ☆56Updated last year
• Jeevesh8 / GHI-prediction
  PyTorch Code for running various time series models for different time stamps and confidence intervals for Solar Irradiance prediction.
  ☆56Updated 4 years ago
• louisyuzhe / deeplearning_forecast
  Application of deep learning model (Temporal Fusion Transformer) to forecast time-series data
  ☆33Updated 4 years ago
• Cy743652 / CEEMDAN-LSTM
  ☆40Updated 3 years ago
• sarikayamehmet / cnn-bilstm-attention
  Multivariate Time Series Prediction using Keras (CNN BiLSTM Attention)
  ☆83Updated 4 years ago
• PsiPhiTheta / LSTM-Attention
  A Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series
  ☆72Updated 6 years ago
• kaelzhang / DA-RNN-in-Tensorflow-2-and-PyTorch
  A Tensorflow 2 (Keras) implementation of DA-RNN (A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction, arXiv:…
  ☆31Updated 10 months ago
• hyliush / deep-time-series
  Deep learning PyTorch library for time series forecasting
  ☆121Updated last year