AI Agent Skills

CUDA-Q onboarding guide for installation, test programs, GPU simulation, QPU hardware, and quantum applications.

GPU Accelerated t-SNE for CUDA with Python bindings

CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.

An open-source Python framework for hybrid quantum-classical machine learning.

A cutting-edge blockchain project aimed at launching the Quantum Pi mainnet, featuring Pi Coin as a stable digital currency valued at $314159 (Three hundred fourteen tho…

This repository contains the source code used to produce the results presented in the paper "Continuous-variable quantum neural networks". Due to subsequent interface up…

SSL/TLS auditing, cipher suite analysis, hash algorithm identification, encryption implementation review, and cryptographic weakness detection in code

A free, open-source book that explains how crypto actually works. 15 chapters covering Bitcoin, Ethereum, Solana, DeFi, MEV, market structure, custody, stablecoins, gove…

Create a CUDA-to-XPU migration assessment for an existing AI repo. Identify CUDA-specific assumptions, route to the right XPU skills, produce a migration report. Use whe…

PopSift is an implementation of the SIFT algorithm in CUDA.

cuFOLIO is a GPU-accelerated portfolio optimization toolkit for building, backtesting, and scaling modern investment workflows with NVIDIA cuOpt and CUDA-X Data Science.

Use when building CUDA projects with xmake — `.cu` sources, `--cuda=` / `--cuda_sdkver=` SDK pinning, GPU architecture selection, device linking (`build.cuda.devlink`),…

Quantum Resistant Ledger

Solve puzzles. Learn CUDA.

Dynex is the world’s only accessible neuromorphic quantum computing cloud for solving real-world problems, at scale.

Diagnoses why ROCm, the HIP SDK, PyTorch, or llama.cpp is broken on an AMD GPU on Linux or Windows, then applies a low-risk fix with consent or hands back the e