NVIDIA curated collection of educational resources related to general purpose GPU programming.

NVIDIA Math Libraries for the Python Ecosystem

芫荽，基於 Klee One 改造的學習用台灣繁體字型

GPU Development in Python 101 tutorial

A library for detecting, labeling, and reasoning about microarchitectures

JupyterLite demo deployed to GitHub Pages 🚀

A massively parallel, high-level programming language

A cross-version Python bytecode decompiler

The pythoncapi-compat project can be used to write a C extension supporting a wide range of Python versions with a single code base.

Binding generator to wrap C++ for Python using LLVM.

A data visualization and analytics component, especially well-suited for large and/or streaming datasets.

The project provides high-performance concurrency, enabling highly parallel computation.

Making it easier to work with shaders

An MLIR based compiler dynamic circuit compiler for real-time control systems supporting OpenQASM 3

The fundamental package for scientific computing with Python.

Trio – a friendly Python library for async concurrency and I/O

Synchrosqueezing, wavelet transforms, and time-frequency analysis in Python

3D Reconstruction Software

Full-screen console debugger for Python

A code generator for array-based code on CPUs and GPUs

C parser and interpreter written in Python with automatic ctypes interface generation

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

oneAPI Math Kernel Library (oneMKL) Interfaces

DSL and compiler framework for automated finite-differences and stencil computation

Automation tools for Python benchmarking

C++ Insights - See your source code with the eyes of a compiler

MSCCL++: A GPU-driven communication stack for scalable AI applications

Python SQL Parser and Transpiler

This is a set of simple programs that can be used to explore the features of a parallel platform.

Quickly create and run optimised Windows, macOS and Linux virtual machines