Starred repositories
Jupyter Notebook examples on how to use the ArbitrageLab - pairs trading - python library.
Avellaneda-Stoikov HFT market making algorithm implementation
High performance components for building Trading Platform such as ultra fast matching engine, order book processor
A quick way to benchmark your CUDA compiler on a Linux environment
Source code contained in CUDA By Example: An Introduction to General Purpose GPU Programming
Quant Option Pricing - Exotic/Vanilla: Barrier, Asian, European, American, Parisian, Lookback, Cliquet, Variance Swap, Swing, Forward Starting, Step, Fader
Utilization of finite difference methods for the purpose of pricing European-style options
Sample codes for my CUDA programming book
A curated list of practical financial machine learning tools and applications.
Cracking the Coding Interview 6th Ed. C++ Solutions
Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Python.
A Full Stack ML (Machine Learning) Roadmap involves learning the necessary skills and technologies to become proficient in all aspects of machine learning, including data collection and preprocessi…
A Collection of Variational Autoencoders (VAE) in PyTorch.
Solving high-dimensional Partial Differential Equations with Deep Learning
Hands-On Machine Learning with C++, published by Packt
LlamaIndex is the leading framework for building LLM-powered agents over your data.
Collection of notebooks about quantitative finance, with interactive python code.
Daily US Stock Market summary with focus on price action & statistics
Convert Notion pages, blocks, or entire lists into any format: Markdown, MDX, JSX, HTML, LaTeX, and more. A powerful Notion conversion engine that lets you write once in Notion and publish seamless…