Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…

Machine Learning algorithm implementations from scratch.

Work with prime numbers in const contexts. Prime generation, primality testing, prime counting, factorization, and more.

Rust library for applying Gaussian quadrature to integrate a function

Hello world example for Rust on GPU

a small, lightweight crate for numerical integration written in Rust.

Numeric traits for generic mathematics in Rust

Multi-Threaded FP32 Matrix Multiplication on x86 CPUs

Linear algebra foundation for the Rust programming language

BLISlab: A Sandbox for Optimizing GEMM

Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)

Python Algorithms for Randomized Linear Algebra

My favorite C programming practices.

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

Inference Llama 2 in one file of pure C

LLM training in simple, raw C/CUDA

Mirror of https://gitlab.redox-os.org/redox-os/termion

Rust bindings for the Python interpreter