Samples that demonstrate how to build graphics intensive applications
Cross-platform, customizable ML solutions for live and streaming media
C++ library for high performance inference on NVIDIA GPUs
Frame profiler
Library for efficient similarity search and clustering dense vectors
High-performance neural network inference framework for mobile
Lightning fast C++/CUDA neural network framework
A high-performance, zero-overhead, extensible Python compiler
MNN is a blazing fast, lightweight deep learning framework
A lightweight header-only library for using Keras (TensorFlow) models
Easy-to-use deep learning framework with 3 key features
GPU DataFrame Library
A GPU-accelerated library containing highly optimized building blocks
Graphical User Interface Toolkit for Python with minimal dependencies
A language for fast, portable data-parallel computation
Visual SLAM/odometry package based on NVIDIA-accelerated cuVSLAM
Modern C++ Terminal Emulator
oneAPI Deep Neural Network Library (oneDNN)
ArrayFire, a general purpose GPU library
A multimedia framework based on Qt and FFmpeg
Simple and flexible programming language for applications development
fast C++ library for GPU linear algebra & scientific computing
Simple and complete bignum/rational C library with wrappers for C++
High performance C++ library for building Wayland compositors
Deep learning inference framework optimized for mobile platforms