sm823zw / Stock-Market-Index-Prediction
This repo deals with time series prediction using LSTMs. An encoder-decoder architecture was used for this purpose. A dual-stage attention mechanism (DA-RNN) has been used in addition to it.
☆24Updated 3 years ago
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
- This repo holds the implementation the paper 'Forecasting gold price using a novel hybrid model with ICEEMDAN and LSTM-CNN-CBAM', by Yanh…☆47Updated 2 years ago
- ☆90Updated last year
- Multivariate Time Series Prediction using Keras (CNN BiLSTM Attention)☆75Updated 4 years ago
- An Ensemble DL Model Tuned with Genetic Algorithm for Oil Production Forecasting.☆59Updated last year
- Basic RNN, LSTM, GRU, and Attention for time-series prediction☆155Updated 2 months ago
- CEEMDAN-VMD-LSTM Forecasting model (a light version of CEEMDAN_LSTM)☆84Updated 2 years ago
- Forex Time-Series Prediction Using TCN☆44Updated 5 years ago
- CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD methods and LSTM.☆235Updated 6 months ago
- Time-series demand forecasting is constructed by using LSTM, GRU, LSTM with seq2seq architecture, and prophet models.☆31Updated 3 years ago
- This project provides implementations with Keras/Tensorflow of some deep learning algorithms for Multivariate Time Series Forecasting: Tr…☆71Updated 2 years ago
- Building Time series forecasting models, including the XGboost Regressor, GRU (Gated Recurrent Unit), LSTM (Long Short-Term Memory), CNN …☆59Updated last year
- Hyperparameter Tuning in LSTM using Genetic Algorithm, Bayesian Optimization, Random Search, Grid Search.☆30Updated 3 years ago
- ☆23Updated 2 weeks ago
- stock forecasting with sentiment variables(with lstm as generator and mlp as discriminator)☆34Updated 5 years ago
- Electricity price (energy demand) forecasting using different ML, DL, stacked DL and hybrid methods (XGBoost, GRU, LSTM, CNN, CNN-LSTM, L…☆36Updated last year
- A novel time series forecasting model, called CEEMDAN-TCN.☆11Updated 2 years ago
- Time-Series models for multivariate and multistep forecasting, regression, and classification☆61Updated 3 years ago
- Application of deep learning model (Temporal Fusion Transformer) to forecast time-series data☆32Updated 4 years ago
- used for Stock Prodiction&power prediction&Traffic prediction by ARIMA,xgboost,RNN,LSTM,TCN☆103Updated 4 years ago
- ☆23Updated 3 years ago
- A Tensorflow 2 (Keras) implementation of DA-RNN (A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction, arXiv:…☆29Updated 8 months ago
- Air Quality Predictions with a Semi-Supervised Bidirectional LSTM Neural Network☆22Updated 3 years ago
- EMD-VMD-TCN short-term load forecasting☆13Updated last year
- EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction☆37Updated 5 years ago
- CEEMDAN+SampleEntropy+LSTM+RF☆14Updated 3 years ago
- Tree seed algorithm and Particle Swarm algorithm are used for searching the LSTM hyper parameters☆10Updated last year
- EA-LSTM: Evolutionary attention-based LSTM for time series prediction☆36Updated 5 years ago
- Paper-Reproduce: (ESWA) Forecasting the realized volatility of stock price index: A hybrid model integrating CEEMDAN and LSTM☆56Updated 8 months ago
- ☆14Updated 3 years ago