Nvidia
Showing 27 of 27 projects
An open-source PC client for streaming games and desktop from NVIDIA GameStream and Sunshine servers.
NVIDIA's SDK for high-performance deep learning inference optimization and deployment on NVIDIA GPUs.
A GPU-accelerated DataFrame library for tabular data processing, part of the RAPIDS data science suite.
A suite of GPU-accelerated machine learning algorithms with scikit-learn compatible APIs for 10-50x faster performance on large datasets.
A Linux tool for monitoring and configuring AMD, Nvidia, and Intel GPUs, including overclocking, fan control, and power management.
A library of optimized communication primitives for multi-GPU and multi-node collective operations.
A command-line utility for querying and monitoring NVIDIA GPU status with a human-readable output.
A curated list of awesome Vulkan libraries, debuggers, tutorials, samples, and resources for graphics developers.
A curated list of awesome Vulkan libraries, debuggers, tutorials, samples, and resources for graphics developers.
A Python package for monitoring and controlling NVIDIA Jetson devices, featuring a terminal-based dashboard and library.
NVIDIA's implementation of the C++ Standard Library for CUDA C++ development.
A collection of GPU-accelerated graph analytics libraries for creating, manipulating, and executing scalable graph algorithms.
A JIT compiler for writing high-performance GPU programs in .NET languages like C#, offering CUDA-level performance with C# convenience.
A Python module for programmatically retrieving NVIDIA GPU status and selecting available GPUs based on memory and load.
A deep learning system for detecting known objects and estimating their 6-DoF pose from RGB images.
Thin, unified C++ wrappers for NVIDIA's CUDA APIs (Runtime, Driver, NVRTC, NVTX) that improve safety and ease of use.
A utility for managing graphics modes and power profiles on Linux laptops and all-in-one PCs.
A fast Clojure library for tensor operations and deep learning with optimized CPU/GPU support.
A CUDA backend for Torch7 that enables GPU-accelerated tensor operations with a familiar Torch API.
A Common Lisp library for NVIDIA CUDA programming, providing a kernel description language and memory management.
Automated setup and configuration script for NVIDIA Jetson boards, handling updates, kernel patches, ROS installation, and performance tuning.
A Clojure library for parallel computations using OpenCL 2.0 with fast JNI bindings.
A curated collection of resources, samples, and documentation for Direct3D 12 graphics programming.
A Clojure library for GPU-accelerated computing using NVIDIA CUDA, enabling high-performance parallel processing.
Dockerized hashcat with multiple backends (CUDA, OpenCL, POCL) for GPU-accelerated password recovery and hash cracking.
A library of reusable CUDA C++ software components for parallel algorithms like sorting, prefix scan, reduction, and histogram.
A ROS wrapper for jetson-stats that provides NVIDIA Jetson board status via diagnostic messages and control services.
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