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A curated list of insanely awesome libraries, packages, and resources for Quantitative Finance (Quants).
A high-performance TensorFlow library for quantitative finance, providing mathematical methods, pricing models, and calibration tools.
A comprehensive Rust library for quantitative finance, offering pricing models, risk analysis, and financial data tools.
A curated, vendor-neutral collection of free annual cybersecurity analysis and survey reports from trusted sources.
A kubectl plugin for security risk analysis of Kubernetes resources like pods, deployments, daemonsets, and statefulsets.
A machine learning tool for quantitative risk analysis of Android apps by analyzing declared and actual permission usage.
An empirical analysis of decision weights in Prospect Theory using Amazon Mechanical Turk experiments to quantify human irrationality in probabilistic choices.
AWS CDK constructs for defining threat models as code using the Threagile framework.
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