DBaudry / Generating_Financial_Time_Series_with_GAN
☆19Updated 5 years ago
Alternatives and similar repositories for Generating_Financial_Time_Series_with_GAN:
Users that are interested in Generating_Financial_Time_Series_with_GAN are comparing it to the libraries listed below
- Financial time series forecast using dual attention RNN☆27Updated 6 years ago
- stock forecasting with sentiment variables(with lstm as generator and mlp as discriminator)☆35Updated 5 years ago
- EA-LSTM: Evolutionary attention-based LSTM for time series prediction☆36Updated 5 years ago
- ☆35Updated 3 years ago
- A Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series☆72Updated 6 years ago
- (Work In Progress) Implementation of "Financial Time Series Prediction Using Deep Learning"☆15Updated 7 years ago
- Wasserstein GAN with gradient penalty (WGAN-GP) applied to financial time series.☆16Updated 6 years ago
- MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)☆93Updated 4 years ago
- Codes for Multi-Level Construal Neural Network framework☆49Updated 4 years ago
- RNN based on Chandler Zuo's implementation of the paper: A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction☆19Updated 7 months ago
- Multi-Factor Stock Profit Prediction Using EMD-ALSTM☆27Updated 5 years ago
- Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971☆60Updated 2 years ago
- Pytorch implementation of "Self-boosted Time-series Forecasting with Multi-task and Multi-view Learning" https://arxiv.org/pdf/1909.08181…☆31Updated 5 years ago
- Please run python train.py to predict time series.☆11Updated 5 years ago
- Deep Learning + Time Series Analysis☆27Updated 5 years ago
- KurochkinAlexey / Hierarchical-Attention-Based-Recurrent-Highway-Networks-for-Time-Series-PredictionPytorch implementation of Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction https://arxiv.org/abs/1806.0…☆64Updated 5 years ago
- combine wavelet transform and attention mechanism for time series forecasting or classification☆29Updated 6 years ago
- Scalable Models of Probabilistic Forecasting with Fuzzy Time Series, PhD Thesis☆10Updated 2 years ago
- Neural Time Series Analysis☆14Updated 2 years ago
- This code is the implementation of this paper (Multistage attention network for multivariate time series prediction)☆23Updated 4 years ago
- A Tensorflow Implementation of Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction☆15Updated 5 years ago
- Multi-step Time Series Forecasting with ARIMA, LightGBM, and Prophet☆24Updated 3 months ago
- ☆132Updated 8 months ago
- DSARF: Deep Switching Auto-Regressive Factorization: Application to Time Series Forecasting (AAAI2021)☆23Updated 3 years ago
- 基於DA-RNN之DSTP-RNN論文試做(Ver1.0)☆77Updated 4 years ago
- Generation of Time Series data using generatuve adversarial networks (GANs) for biological purposes.☆113Updated 5 years ago
- Code examples for pyFTS☆50Updated 5 years ago
- An attempt to implement the idea behind this paper: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0212320☆20Updated 3 years ago
- Reproduction of code described in the paper "Stock Market Prediction Based on Generative Adversarial Network" by Kang Zhang et al.☆25Updated 4 years ago
- Model time series with multiple methods,including ARIMA ,ES,RNN,LSTM...☆29Updated 7 months ago