Tensors and Dynamic neural networks in Python with strong GPU acceleration

Ultra-high-performance, secure, all-in-one acceleration engine for developer resources

Fluid, elastic data abstraction and acceleration for BigData/AI applications in cloud. (Project under CNCF)

Fastest end-to-end CSV ingestion for Ruby (with C acceleration). SmarterCSV auto-detects formats, applies smart defaults, and returns Rails-ready hashes for seamless use with ActiveRecord, Sidekiq, parallel jobs, and S3 pipelines — even for messy user-uploaded real-world data.

TurboDiffusion: 100–200× Acceleration for Video Diffusion Models

Run, compile and execute JavaScript for Scientific Computing and Data Visualization TOTALLY TOTALLY TOTALLY in your BROWSER! An open source scientific computing environment for JavaScript TOTALLY in your browser, matrix operations with GPU acceleration, TeX support, data visualization and symbolic computation.

PMetal: high-performance Apple Silicon framework for local LLM inference, LoRA/QLoRA fine-tuning, serving, quantization, and MLX/Metal acceleration.

Zero-copy PDF text extraction library written in Zig. High-performance, memory-mapped parsing with SIMD acceleration.

Distributed tensors and Machine Learning framework with GPU and MPI acceleration in Python

Libva is an implementation for VA-API (Video Acceleration API)

High-performance quantitative finance in Rust — 120+ stochastic processes, option pricing, calibration, fixed income, risk & copulas, with SIMD/GPU acceleration and Python bindings.

AeroJAX: A differentiable, structure-preserving framework for real-time flow simulation, control, and inverse design. Architected for neural operator integration and latent-space acceleration. Built with JAX.