DUCKQUANT / THE QUANT & AI DIRECTORY
14,444 resources, ranked by in-directory PageRank
Showing 2,557–2,592 of 14,444 resources
If you are a newcomer to the Deep Learning area, the first question you may have is "Which paper should I start reading from?"…
Explore this resource at its source website for documentation and current information.
Explore this resource at its source website for documentation and current information.
Explore this resource at its source website for documentation and current information.
Explore this resource at its source website for documentation and current information.
Explore this resource at its source website for documentation and current information.
Explore this resource at its source website for documentation and current information.
Explore this resource at its source website for documentation and current information.
This course explores the world of Transformers and Large Language Models (LLMs). You'll learn the evolution of NLP methods, the core components of the…
By DeepLearning.AI Welcome to Claude Code, the Highly Agentic Coding Assistant. This short course is built in partnership with Anthropics
Explore this resource at its source website for documentation and current information.
Understanding Deep Learning - Simon J.D. Prince
By By Andrew Ng (2018) This course provides a broad introduction to machine learning and statistical pattern recognition. You will learn about both supervised…
Explore this resource at its source website for documentation and current information.
Gamma scalping—also called delta-neutral trading—is an options strategy designed to help traders navigate pricing volatility
By Vijay Janapa Reddi/Harvard University (2026) This textbook bridges the gap between theoretical foundations and practical engineering, emphasizing the…
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Explore this resource at its source website for documentation and current information.
Berkeley CS294/194-196 (2024) Introduction course on Large Language Model Agents. Includes Slides and Videos
Berkeley CS294/194-280 (2025) Advanced course on Large Language Model Agents. Includes Slides and Videos
MIT's introductory course on deep learning methods and applications.
By Christoph Molnar (2025) This book is about interpretable machine learning. Machine learning is being built into many products and processes of our daily…
TensorTonic interactive tutoring of Machine Learning theory and practice
Explore this resource at its source website for documentation and current information.
This article explains how 0DTE gamma exposure from zero DTE options influences intraday market moves, dealer hedging, and trading strategy.
Explore this resource at its source website for documentation and current information.
By OptionAlpha.com A FREE complete guide to options contract pricing, intrinsic and extrinsic value, the Black-Scholes model, and more
Explore this resource at its source website for documentation and current information.
MIT (2008) This course teaches the art of guessing results and solving problems without doing a proof or an exact calculation. Techniques include extreme-cases…
Jupyter notebook collection that cover many topics you are interested in great detail, and some come with concrete examples using PyTorch
Associated Python and R scripts
Enhance Your Options Knowledge: Explore OCC Learning for self-guided courses on options trading. Learn at your pace with industry professionals.
Dr. Valeriy Manokhin (PhD, MBA, CQF) — courses, books, and research on time series forecasting, conformal prediction, and machine learning. Author of Mastering Modern…
Chinese open-source Python quant trading platform with gateways for crypto, futures and securities venues.
Free open source crypto trading bot to automate AI, Grid, DCA and TradingView strategies on Binance, Hyperliquid and 15+ exchanges, with a simple interface.
Applies transformer architectures to limit-order-book data for short-term price forecasting.
