DUCKQUANT / THE QUANT & AI DIRECTORY
1,177 resources, ranked by in-directory PageRank
Publication: What Does Deep Hedging Actually Learn? Delta Corrections, Regime Fragility, and Symbolic Distillation. Published May 20, 2026.
Publication: Risk-Sensitive Q-Learning in Continuous Time with Application to Dynamic Portfolio Selection. Published Dec 2, 2025.
Publication: Inverse Learning of Latent Risk-Neutral Densities from Irregular Option Quotes. Published Jul 29, 2026.
Publication: Adversarial Deep Hedging: Learning to Hedge without Price Process Modeling. Published Jul 25, 2023.
Publication: Policy Evaluation and Temporal-Difference Learning in Continuous Time and Space: A Martingale Approach. Published Aug 15, 2021.
Publication: Risk-sensitive Markov Decision Process and Learning under General Utility Functions. Published Nov 22, 2023.
Publication: Universal Diffusion Models for Implied Volatility Surfaces: Learning Shared Dynamics Across Stocks. Published Sep 19, 2026.
Publication: Generative Adversarial Regression (GAR): Learning Conditional Risk Scenarios. Published Mar 9, 2026.
Materials for the course of Computational Finance
Demo code for direct Black-Scholes implied-volatility calculation from normalized call prices via the inverse-Gaussian quantile representation
Official GitHub organization for the convex research group at the Hong Kong University of Science and Technology (HKUST)
Implementation of using qstrader
Repository containing notebooks of 's posts on Medium
Codes from @financialnoob's posts
This repository contains codes that were executed during my training in the CQF (Certificate in Quantitative Finance). The codes are organized by class…
Quantitative Finance book
Training materials in quantitative finance
"Modelos de Volatilidade para Derivativos" book's Jupyter notebooks
2024 QuantMind's Rough Volatility Workshop lectures
A collection of data analysis studies that examine the performance and characteristics of value investing over long periods of time
A minimalist, open source online pastebin where the server has zero knowledge of pasted data. Data is encrypted/decrypted in the browser using 256 bits…
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Valet lets you securely store data in the iOS, tvOS, watchOS, or macOS Keychain without knowing a thing about how the Keychain works. It’s…
speechballoon: Machine Learning Course with Python
All course materials for the Zero to Mastery Machine Learning and Data Science course.
Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!
Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)
Learn ML engineering for free in 4 months! Register here
started by Columbia university engineering students and designed as an end to end deep reinforcement learning library for automated trading platform.…
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but…
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but…
Powerful modern math library for PHP: Features descriptive statistics and regressions; Continuous and discrete probability distributions; Linear algebra with…
List of tools & datasets for anomaly detection on time-series data.
I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter…
EPFL Machine Learning Course, Fall 2026
Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.
