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A 120-day CUDA learning plan covering daily concepts, exercises, pitfalls, and references (including “Programming Massively Parallel Processors”). Features six capstone projects to solidify GPU par…
Hands-on Reinforcement Learning with PyTorch, published by [Packt]
Exercises of the book: Advances in Financial Machine Learning by Marcos Lopez de Prado
Learn System Design concepts and prepare for interviews using free resources.
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
A curated collection of free Machine Learning related eBooks
A resource for anyone interested in understanding and unlocking the potential of zk-SNARKs, from beginners to experts.
Machine Learning in Finance: From Theory to Practice Book
Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach
These files are developed by quantsdynamics team. You can use them for education as well as your work implementation freely.
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
A comprehensive collection of cheatsheets for reverse engineering, binary analysis, and assembly programming tools. This repository serves as a one-stop reference for security researchers, reverse …
Low-Level Programming Roadmap and Resources
Solution Manual for Roman Vershynin's High-Dimensional Probability
Quantitative analysis, strategies and backtests
Open souce quantitative finance models and algorithms with tutorials
A series of interactive labs we prepared for the Chartered Financial Data Scientist Certification. The content of the series is based on Python, IPython Notebook, and PyTorch.
Estimators and analysis for extreme value theory (EVT)
Codes to complement YouTube videos and blog posts on Medium.
Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems