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NVIDIA
- Cincinnati, OH
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Circle packing similar to squarify for treemap
No-GIL Python environment featuring NVIDIA Deep Learning libraries.
NVIDIA curated collection of educational resources related to general purpose GPU programming.
NVIDIA Math Libraries for the Python Ecosystem
Unified Communication X (mailing list - https://elist.ornl.gov/mailman/listinfo/ucx-group)
C++ based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)
check code for common misspellings
Populate library namespace without incurring immediate import costs
Central repository for Holoscan Reference Applications
🚀 Kick-start your C++! A template for modern C++ projects using CMake, CI, code coverage, clang-format, reproducible dependency management and much more.
Compute the exact Euclidean Distance Transform and Voronoi Diagram for 2D and 3D binary images using the GPU.
An efficient C++20 GPU numerical computing library with Python-like syntax
An extremely fast Python linter and code formatter, written in Rust.
CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.
Developer tool for scientific Python libraries
The AI sensor processing SDK for low latency streaming workflows
Productive, portable, and performant GPU programming in Python.
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
ripgrep recursively searches directories for a regex pattern while respecting your gitignore
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Material for the 2021 GPU workshop at JuliaCon
CUDA Python: Performance meets Productivity
tree is a library for working with nested data structures
A set of useful perceptually uniform colormaps for plotting scientific data
Quantitative Image Analysis in C++, MATLAB and Python
Python bindings for the C++14 Boost::Histogram library