OpenQuake's Engine for Seismic Hazard and Risk Analysis
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Updated
Jun 29, 2024 - Python
OpenQuake's Engine for Seismic Hazard and Risk Analysis
RAVEN is a flexible and multi-purpose probabilistic risk analysis, validation and uncertainty quantification, parameter optimization, model reduction and data knowledge-discovering framework.
Project Risk Analysis
Jube is an open-source software designed for monitoring transactions and events. It offers a range of powerful features including real-time data wrangling, artificial intelligence, decision making, and case management. Jube's exceptional performance is particularly evident in its application to fraud prevention and abuse detection scenarios.
LSTM-ARIMA with Attention and multiplicative decomposition for sophisticated stock forecasting.
Agile Threat Modeling Toolkit
Equinox is an open source platform that supports the holistic risk management of sustainable finance projects
Team members: Rawan AboAlqaraya, Seda Betül Gül, Songül Kurgan, Fırat Arıkkan, Adile Güngör - Akıllı Tarım Yönetim Sistemi (ATYS) projesi için repo
Risk analysis for Greenhouse Gas reduction portfolios using Monte Carlo simulations.
The ISRA security-risk-assessment-tool project is an Electron based application used to do security risk assessments at a technical level
Google Cybersecurity Certificate holder with hands-on experience in Python, Linux, SQL, SIEM tools, and IDS, prepared for entry-level cybersecurity roles. Proficient in risk management, threat analysis, network security, and incident response.
Check remote repositories for typical red flags like CLAs and risks due to low development activity
Risk analysis of greenhouse gas projects using monte carlo simulations.
This repository contains the analysis of car insurance claims data, including the amount claimed, car models and usage, and customers' demographics.
Project as part of the course Introduction to risk modeling and management at ETH Zurich, held in spring 2024
A Python package for survival analysis. The most flexible survival analysis package available. SurPyval can work with arbitrary combinations of observed, censored, and truncated data. SurPyval can also fit distributions with 'offsets' with ease, for example the three parameter Weibull distribution.
Fast risks with QuantLib in C++
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