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A generic framework for on-demand, incrementalized computation. Inspired by adapton, glimmer, and rustc's query system.
Beautiful diagnostic reporting for text-based programming languages.
Automated property based testing for Rust (with shrinking).
A Great Collection of Deep Learning (e)Books
.pdf Format Books for Machine and Deep Learning
A rust implementation of Andrej Karpathy's Micrograd
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Cross-platform, low level networking using the Rust programming language.
This book will be a textbook written in the univalent style, taking advantage of the presence of symmetry in the logic at an early stage.
Resources for learning Category Theory for an enthusiast
Markdown makes sites - A Static Site Generator for Blogs
This package contains the original 2012 AlexNet code.
Machine Learning and Agentic AI Resources, Practice and Research
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
Outliner-like breadcrumb trees for search, backlinks and embedded queries
[TMLR] A curated list of language modeling researches for code (and other software engineering activities), plus related datasets.
A continuously updated collection of CodeLLM papers maintained by PurCL group @ Purdue
An implementation of the Language Server Protocol for LaTeX