UNIX Network Programming, Volume 1, Third Edition Source Code

STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)

A collection of various deep learning architectures, models, and tips

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

The full minitorch student suite.

Neovim config for the lazy

Code Repository for Machine Learning with PyTorch and Scikit-Learn

Code from/for the "Understanding and Using C Pointers", Richard Reese, O'Reilly

The official NGINX Open Source repository.

Code for the Computer Systems: A Programmer's Perspective book

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.

Simple Unit Testing for C

C Programming K N King

Following the year long AI learning plan created for me by Grok

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

Implement a reasoning LLM in PyTorch from scratch, step by step

How to be low-level programmer

💥 Create key bindings that stick. WhichKey helps you remember your Neovim keymaps, by showing available keybindings in a popup as you type.

💤 A modern plugin manager for Neovim

😎 Curated list of awesome resources on Compilers, Interpreters and Runtimes

Envision a future where every student can read all the code of a teaching operating system.

🧠 Local transformer REPL in pure C — no Python, no torch, no dependencies. Tokenizer, embedder, trainer, and memory recall loop. Scraping optional (lynx or curl supported).

Part II jlox interpreter from "Crafting Interpreters" book

Repository for the book Grokking Machine Learning, by Manning Editors

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step