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Forecasting passenger demand for railway tickets using open data
Forked from stavinova/predictability-classes
Predictability classes for forecasting bank clients behavior by transactional data.
Python 2
Refinements of reservoir neural networks for chaotic time series forecasting
Forecasting population migration in small settlements using generative models in conditions of data scarcity
TRGAN: A Time-Dependent Generative Adversarial Network for Synthetic Transactional Data Generation
🧑🏻💻 Multivariate Time Series Modelling with Neural SDE driven by Jump Diffusion
Модуль инкрементального обучения моделей нестационарных финансовых процессов.
This repository provides an implementation of algorithmic support for dynamic pricing based on surrogate ticket demand modeling for a passenger rail company on open data.
The public repo of experiments from paper "Performance Ranking of Recommender Systems on Simulated Data" by Stavinova et al.
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