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12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Examples and guides for using the OpenAI API
12 Weeks, 24 Lessons, AI for All!
10 Weeks, 20 Lessons, Data Science for All!
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
The fastai book, published as Jupyter Notebooks
Companion webpage to the book "Mathematics For Machine Learning"
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed …
JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.
Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative ski…
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Project page for "The Fuzzing Book"
Practical Data Engineering: A Hands-On Real-Estate Project Guide
An introduction to data science in Python, for people with no programming experience.
Tutorials on Julia topics
Curso de Python orientado a estudiantes de ciencias e ingeniería, profesores, investigadores e ingenieros
A hands-on book for abusing systems using Rust (WIP) - Open Research
Implementation of feature engineering from Feature engineering strategies for credit card fraud
Data Anomaly and Fraud Detection with Python and R