OpenQuake's Engine for Seismic Hazard and Risk Analysis
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Updated
Jun 1, 2024 - Python
OpenQuake's Engine for Seismic Hazard and Risk Analysis
Risk analysis of greenhouse gas projects using monte carlo simulations.
Agile Threat Modeling Toolkit
Open-source portfolio analysis tools for DIY investors and finance enthusiasts.
The ISRA security-risk-assessment-tool project is an Electron based application used to do security risk assessments at a technical level
LSTM-ARIMA with Attention and Multiplicative Decomposition for Sophisticated Stock Forecasting.
Useful graphs for financial projects
Web Application to Support Disaster Resilience / Application web pour soutenir la résilience aux catastrophes
Computer Aided Integration of Requirements and Information Security - Server
RAVEN is a flexible and multi-purpose probabilistic risk analysis, validation and uncertainty quantification, parameter optimization, model reduction and data knowledge-discovering framework.
Project as part of the course Introduction to risk modeling and management at the ETH Risk Center at ETH Zurich, held in spring 2024
L-Moments, Censored L-Moments, Trimmed L-Moments, L-Comoments, and Many Distributions
Fast Risks with QuantLib in Python
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.
Risk Management for Information Security
Resources for Open Risk Academy Course: "Processing US Agency Mortgage Data with Awk and Pandas - Part 2: Performing Book"
MONARC - Method for an Optimised aNAlysis of Risks by @NC3-LU
Resources for Open Risk Academy Course: "Processing US Agency Mortgage Data with Awk and Pandas - Part 1: Static Data"
Check remote repositories for typical red flags like CLAs and risks due to low development activity
risk modelling for virbrio infections and estimating the attributable rates
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