Thesis project done on Generation Financial Time-Series with GANs. The project was a collaboration between Wholesale Banking Advanced Analytics team with ING and University Maastricht.
☆71Aug 18, 2020Updated 5 years ago
Alternatives and similar repositories for WGAN_financial_time-series
Users that are interested in WGAN_financial_time-series are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆135Jul 16, 2024Updated last year
- MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)☆93Sep 29, 2020Updated 5 years ago
- Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019☆1,048Feb 5, 2026Updated 2 months ago
- PyTorch implementation for OCT-GAN Neural ODE-based Conditional Tabular GANs (WWW 2021)☆15Oct 10, 2022Updated 3 years ago
- synthetic data generation of time-series data☆28Feb 8, 2022Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆45Feb 28, 2021Updated 5 years ago
- Wasserstein GAN with gradient penalty (WGAN-GP) applied to financial time series.☆17Oct 17, 2018Updated 7 years ago
- Evaluation of Hybrid MODWT-MARS framework for financial time series forecasting☆18Sep 23, 2024Updated last year
- Implementation of "A deep solver for BSDEs with jumps"☆17Nov 14, 2024Updated last year
- Multivariate recurrent GANs aimed at generating biomedical time-series. Methodology involves drawing symmetries to adversarial image gene…☆24Feb 20, 2026Updated last month
- A model to generate time series data with the purpose of augmenting a dataset of various time series.☆62Jan 9, 2020Updated 6 years ago
- ☆30Aug 5, 2023Updated 2 years ago
- Recurrent (conditional) generative adversarial networks for generating real-valued time series data.☆657Oct 7, 2018Updated 7 years ago
- A tensorflow implementation of informative generative adversarial network (InfoGAN ) to one dimensional ( 1D ) time series data with a su…☆29Oct 21, 2018Updated 7 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Generation of Time Series data using generatuve adversarial networks (GANs) for biological purposes.☆115Dec 13, 2019Updated 6 years ago
- Exact real arithmetic using Dedekind cuts☆11Mar 30, 2026Updated 3 weeks ago
- ☆15Oct 7, 2019Updated 6 years ago
- The goal of this project was to predict stock market prices using a recurrent neural network. This project was inspired by the Standford …☆13Jul 5, 2023Updated 2 years ago
- This repository contains the agent-based stock market model☆25Feb 19, 2018Updated 8 years ago
- ☆11Jul 22, 2023Updated 2 years ago
- Implementation of: Kristiadi, Agustinus, and Asja Fischer. "Predictive Uncertainty Quantification with Compound Density Networks." (2019)…☆16May 26, 2022Updated 3 years ago
- [Recurrent Weighted Average](https://arxiv.org/abs/1703.01253) [Jared Ostmeyer et.al, 2017] heavily based on https://gist.github.com/sham…☆10May 18, 2017Updated 8 years ago
- Scenarios generator considering space and time dependency. Includes conditional quantile regressions and copula approach.☆13Jun 16, 2016Updated 9 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Methods and experiments for assumed density SDE approximations☆12Jan 26, 2022Updated 4 years ago
- Using transformer models to do multi-step equity time series prediction.☆13Mar 4, 2021Updated 5 years ago
- A PyTorch implementation of QuantNet: transferring learning across systematic trading strategies.☆15Jul 12, 2025Updated 9 months ago
- A Julia wrapper for the FEBio finite element solver☆15Mar 18, 2026Updated last month
- LSTM neural networks for nowcasting economic data.☆72May 2, 2024Updated last year
- In this repository, I place my solution for the exercises in multiple famous math textbooks, including Stochastic Differential Equation, …☆14Nov 13, 2023Updated 2 years ago
- This repository contains code for a project that trains a neural network to solve solid mechanics problems faster than the traditional fi…☆12Sep 28, 2023Updated 2 years ago
- ☆14Mar 1, 2024Updated 2 years ago
- Pytorch implementation of Deep Hedging, Utility Maximization and Portfolio Optimization☆18Sep 22, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Tool for building deep / recurrent neural network models for systematic fundamental investing.☆17Jun 9, 2017Updated 8 years ago
- ☆10Jun 29, 2021Updated 4 years ago
- PhD thesis template with title page according to the University of Amsterdam.☆15Sep 12, 2021Updated 4 years ago
- A tensorflow implementation of GAN ( exactly InfoGAN or Info GAN ) to one dimensional ( 1D ) time series data.☆297Mar 24, 2024Updated 2 years ago
- OptiVerse is a comprehensive open-source Python library dedicated to exploring the vast universe of optimization techniques to solve real…☆12Feb 15, 2025Updated last year
- Conditional Wasserstein GANs☆73Feb 5, 2018Updated 8 years ago
- In this repository, the goal is to predict the tick direction of a stock based on its current order book and trade data. A LSTM Neural Ne…☆23Apr 29, 2021Updated 4 years ago