AlgoMathITMO

AlgoMathITMO

Organization data from Github https://github.com/AlgoMathITMO

GitHub:@AlgoMathITMO

AlgoMathITMO's repositories

CLSGAN

Synthetic financial time series generation with regime clustering

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DPRank

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.

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Forecasting-railway-ticket-demand-with-search-query

Forecasting passenger demand for railway tickets using open data

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TRGAN

TRGAN: A Time-Dependent Generative Adversarial Network for Synthetic Transactional Data Generation

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Dynamic-classifier

Dynamic classifier for estimating the predictability of client's transactional behaviour

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predictability-classes

Predictability classes for forecasting bank clients behavior by transactional data.

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link_prediction

Inferring link predictability classes in complex networks.

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SynEvaRecSimulator

The public repo of experiments from paper "Performance Ranking of Recommender Systems on Simulated Data" by Stavinova et al.

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Predictability-with-dynamic-graph

Online time series predictability evaluation by means of graph neural network.

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SynEvaRec

A Framework for Evaluating Recommender Systems on Synthetic Data Classes

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Divide_et_Impera

Модуль инкрементального обучения моделей нестационарных финансовых процессов.

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JDFlow

🧑🏻‍💻 Multivariate Time Series Modelling with Neural SDE driven by Jump Diffusion

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Leiden-WBFM

A well-tunable Leiden-based algorithm implementing the WBFM.

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Migration-forecasting

Forecasting population migration in small settlements using generative models in conditions of data scarcity

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modulairty_research

Composite modularity and parameter tuning in the Weight-Based Fusion Model for community detection in node-attributed social networks.

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mortgage-loan-forecasting

Forecasting the volume of mortgage loans with open Internet data in the period of noticeable changes in the Russian mortgage market.

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public-transport-network

Analysis of public transportation systems using network science.

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Timesergraph

Time series analysis by means of graph network

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weight_based_model

Analyzis of structure-attributes correlation affect on clustering quality in node-attributed social networks.

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