mirkosavasta / GANetano
Generative Adversarial Network to create synthetic time series
☆23Updated 4 years ago
Alternatives and similar repositories for GANetano:
Users that are interested in GANetano are comparing it to the libraries listed below
- MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)☆93Updated 4 years ago
- Wasserstein GAN with gradient penalty (WGAN-GP) applied to financial time series.☆16Updated 6 years ago
- ☆14Updated 4 years ago
- Evaluation of Hybrid MODWT-MARS framework for financial time series forecasting☆18Updated 5 months ago
- Hybrid ES-RNN models for time series forecasting☆20Updated 3 years ago
- Implementation of the [Hierarchical (Sig-Wasserstein) GAN] algorithm for large dimensional Time Series Generation: https://doi.org/10.390…☆18Updated 2 years ago
- Multivariate Adaptive Regression Splines for Time Series Prediction☆18Updated last year
- The source code and data of the paper "Instance-wise Graph-based Framework for Multivariate Time Series Forecasting".☆31Updated 3 years ago
- A Python library for the fast symbolic approximation of time series☆44Updated last month
- ☆23Updated 3 years ago
- DATA-AIDED PAIRS TRADING VIA LEARNED KALMAN WITH BOLLINGER BANDS☆34Updated 2 years ago
- ☆26Updated last year
- Thesis project done on Generation Financial Time-Series with GANs. The project was a collaboration between Wholesale Banking Advanced Ana…☆68Updated 4 years ago
- Transformer and MultiTransformer layers for stock volatility forecasting purposes☆65Updated 3 years ago
- 📈 toolset for time series forecasting☆32Updated 2 years ago
- Stock prediction thru TFT☆37Updated 3 years ago
- Time-series Generative Adversarial Networks (fork from the ML-AIM research group on bitbucket))☆118Updated 3 years ago
- ☆41Updated last year
- Pipeline for Time Series Generation with Comprehensive Evaluation Metrics☆40Updated 2 months ago
- Deep Learning + Time Series Analysis☆27Updated 5 years ago
- Code for Exploring the Scale-Free Nature of Stock Markets: Hyperbolic Graph Learning for Algorithmic Trading at WWW 2021☆20Updated 3 years ago
- ☆40Updated 11 months ago
- stock forecasting with sentiment variables(with lstm as generator and mlp as discriminator)☆35Updated 5 years ago
- Experiments in Recurrent Highway Networks with Grouped Auxiliary Memory paper☆21Updated 5 years ago
- Implementation of Log Gaussian Cox Process in Python for Changepoint Detection using GPFlow☆31Updated last year
- Code for "Coherent Probabilistic Aggregate Queries on Long-horizon Forecasts", IJCAI 2022☆18Updated 2 years ago
- Codes for my thesis project: replicating and modifying quant GANs.☆17Updated 3 years ago
- ☆34Updated 3 years ago
- This repository contains code for the paper: S Bergsma, T Zeyl, JR Anaraki, L Guo, C2FAR: Coarse-to-Fine Autoregressive Networks for Prec…☆13Updated last year
- ☆15Updated last year