turboquant-py implements the TurboQuant and QJL vector quantization algorithms from Google Research (ICLR 2026 / AISTATS 2026). It compresses high-dimensional floating-point vectors to 1-4 bits per ...

Abstract: In modern technology where disciplines like data sciences, data Analytics, and machine learning are emerging and infrastructure being set for Internet of things, important operations like ...

Experience space like never before with this Python simulation of the ISS orbit – upgraded animation! 🌌 Watch the International Space Station (ISS) move along its trajectory with realistic ...

Celebrate Pi Day with this fun Python tutorial where we create an animation illustrating the irrational nature of Pi! Watch as we visualize Pi's never-ending decimal expansion and explore the math ...

This repository contains my complete solutions to the legendary Karan's Mega Project List — a curated collection of programming challenges designed to improve coding skills across multiple domains.

As the world races to build artificial superintelligence, one maverick bioengineer is testing how much unprogrammed intelligence may already be lurking in our simplest algorithms to determine whether ...

Children often surprise us with their natural problem-solving skills. A new study shows that they can discover efficient algorithms on their own. Researchers Huiwen Alex Yang, Bill D. Thompson, and ...

If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle the easiest pieces first. But this kind of sorting has a cost.

GPU-based sorting algorithms have emerged as a crucial area of research due to their ability to harness the immense parallel processing power inherent in modern graphics processing units. By ...

Abstract: Sorting is a fundamental task in computer programming. Many sorting algorithms have been developed. Sorting algorithms are taught in the programming, data structures, and algorithms courses.