Stars
No-GIL Python environment featuring NVIDIA Deep Learning libraries.
A central repository to keep track of the status of work on and support for free-threaded CPython (see PEP 703), with a focus on the scientific and ML/AI ecosystem
NVIDIA Math Libraries for the Python Ecosystem
Parameterized testing with any Python test framework
Alter SDK lets you easily pipe avatars with motion capture into your game, app, or website. It just works.
Cross-platform SDK for facial motion capture producing blendshapes and rigid head poses in 3D space in realtime from photos or videos.
Repository for ONNX working group artifacts
The Triton backend that allows running GPU-accelerated data pre-processing pipelines implemented in DALI's python API.
Reference implementations of MLPerf™ inference benchmarks
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
Example code showing how to use Nvidia DALI in pytorch, with fallback to torchvision. Contains a few differences to the official Nvidia example, namely a completely CPU pipeline & improved memory u…
A C library for reading and writing sound files containing sampled audio data.
Build and run Docker containers leveraging NVIDIA GPUs
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
A Keras port of Single Shot MultiBox Detector
Utilities for working with image data, text data, and sequence data.
Reference implementations of popular deep learning models.
Python optical flow visualization following Baker et al. (ICCV 2007) as used by the MPI-Sintel challenge
[ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl
Sloth is a tool for labeling image and video data for computer vision research.