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Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
Understanding Deep Learning - Simon J.D. Prince
Cracking the Coding Interview 6th Ed. Python Solutions
Code for the book Data Structures and Algorithms in Java, 6th edition zyVersion
Python Implementation of Reinforcement Learning: An Introduction
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn and PyTorch.
An educational resource to help anyone learn deep reinforcement learning.
By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
Angrave's Crowd-Sourced System Programming Book used at UIUC
What would you do with 1000 H100s...
Tenstorrent's MLIR Based Compiler. We aim to enable developers to run AI on all configurations of Tenstorrent hardware, through an open-source, general, and performant compiler.
Curated list of project-based tutorials
100+ open-source clones of popular sites like Airbnb, Amazon, Instagram, Netflix, Tiktok, Spotify, Whatsapp, Youtube etc. See source code, demo links, tech stack, github stars.
Python programs, usually short, of considerable difficulty, to perfect particular skills.
Code Repository for Machine Learning with PyTorch and Scikit-Learn
A collection of various deep learning architectures, models, and tips
The "Python Machine Learning (3rd edition)" book code repository
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Code Repository for The Kaggle Book, Published by Packt Publishing
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Follow along with my AI Agents Masterclass videos! All of the code I create and use in this series on YouTube will be here for you to use and even build on top of!
Beta release of Archon OS - the knowledge and task management backbone for AI coding assistants.
Testing hypotheses through statistical models opens a universe of new possibilities. Learn how to improve your daily work with this approach.