MarkBrezina/Knowledgebase

Knowledgebase— a collection of information for quantitative finance, insurance, mathematics and AI—This serves as a sprawling notebook of books, papers, code links and Jupyter notebooks across quantitative finance, insurance, AI/ML, coding/IT, maths, probability and applied statistics, organised in subject-tree folders rather than a software repo.

21
/ 100
Experimental

This knowledge base helps quantitative finance professionals, insurance actuaries, AI/ML researchers, and mathematicians organize and access relevant information. It provides a curated collection of links to books, papers, code, videos, and organizations across various technical domains. Practitioners can quickly find resources to deepen their understanding or explore new topics within their field.

No commits in the last 6 months.

Use this if you are a quant, actuary, or researcher looking for a structured collection of learning resources and practical examples in quantitative finance, insurance, or AI/ML.

Not ideal if you are looking for a standalone software tool or an interactive application to solve a specific problem.

quantitative-finance insurance-actuarial machine-learning-research applied-mathematics stochastic-processes
No License Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 6 / 25
Maturity 8 / 25
Community 5 / 25

How are scores calculated?

Stars

15

Forks

1

Language

R

License

Last pushed

Jun 04, 2025

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/MarkBrezina/Knowledgebase"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.