Showing 41-60 of 145 projects
PyTorch compiler for NVIDIA GPUs using TensorRT, enabling efficient deep learning inference on CUDA hardware.
This repository provides guidance on optimizing algorithms for CUDA, a framework for parallel computing on NVIDIA GPUs.
An open-source robotics simulation platform for developing and testing AI-driven robots in virtual environments.
An open-source, GPU-accelerated physics simulation engine for roboticists and simulation researchers.
NVIDIA GPU Operator manages GPUs in Kubernetes for developers building AI-powered applications.
DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning tasks on a variety of GPUs.
A Python package for monitoring and controlling NVIDIA Jetson devices, including the Jetson Orin, Xavier, Nano, and TX series.
An open-source deep learning framework for building, training, and fine-tuning models using physics-ML methods.
A utility to unlock the full potential of your Intel/AMD based device through overclocking and power control.
Blazing-fast GPU compute framework built on Vulkan for advanced data processing use cases.
NVIDIA's PhysX SDK, a powerful physics simulation library for game and real-time applications.
NVIDIA's WaveGlow is a flow-based generative network for high-quality speech synthesis in Python.
NVIDIA's C++ Standard Library for high-performance GPU computing on your system.
An open-source platform for AI engineering with LLM observability, GPU monitoring, and prompt management tools.
NVIDIA's CUDA Core Compute Libraries for accelerated computing and GPU programming in C++
A highly efficient module for temporal modeling in video understanding tasks.
A guide to set up Fedora 43 with various post-installation configurations and optimizations.
An NCNN-based implementation of Real-ESRGAN, a practical algorithm for general image restoration and super-resolution.
Practical tutorials and labs for TensorFlow, covering popular neural network architectures like CNN, RNN, and more.
cuTile is a programming model for writing parallel kernels for NVIDIA GPUs in Python.
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