An implementation of Shazam's song recognition algorithm.

Your backend, minus the hassle.

Repository for the paper "Fast and Provable Greedy Algorithms for the Max-Cut Relaxation"

Package to help connect Julia with the SymPy library of Python

A minimal GPU design in Verilog to learn how GPUs work from the ground up

This repository contains my complete resources and coding practices for malware development using Rust 🦀.

Linear Programming for Rust, with a user-friendly API. This crate allows modeling LP problems, and lets you solve them with various solvers.

Disassembler focused on comprehensive rust support.

Cross-platform AirDrop. File transfer between Android, iOS, Linux, macOS, and Windows over ad hoc WiFi. No network infrastructure required, just two devices with WiFi chips in close range.

Jacobian-Free Newton-Krylov solver with Hookstep-trust-region approach

LLM training in simple, raw C/CUDA

Modular Rust transformer/LLM library using Candle

Open Source Metering and Usage Based Billing API ⭐️ Consumption tracking, Subscription management, Pricing iterations, Payment orchestration & Revenue analytics

18.336 - Fast Methods for Partial Differential and Integral Equations

Boundary element methods in Rust

Statistics and Topology

Readings from "A Play on Regular Expressions", 2010

Study and implementations of F-Algebras and Bird-Meertens formalism

Loungy is a WIP launcher in the vein of Spotlight, Alfred, Raycast.

Fast multi-producer, multi-consumer unbounded channel with async support.

Pure Data as a plugin, with a new GUI

A tutorial of building an LSM-Tree storage engine in a week!

ETH Robustness Analyzer for Deep Neural Networks

Zonotope abstract domain

Rust library and CLI tool for OCR (extracting text from images)

Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

sneg is a Mathematica package for performing algebraic calculation with non-commuting operators in many-particle physics

Solve puzzles. Improve your pytorch.