Showing 1-20 of 92 projects
GPU-accelerated terminal emulator and multiplexer for developers
A WebGL-accelerated JavaScript library for training and deploying ML models in the browser.
A cross-platform, safe, pure-Rust graphics API for building high-performance, GPU-accelerated applications.
A JavaScript library for GPU-accelerated parallel computations, enabling high-performance graphics and data processing on the web.
A GPU-accelerated neural network library for building AI-powered web and Node.js applications.
NVIDIA TensorRT is an SDK for high-performance deep learning inference on NVIDIA GPUs.
A GPU-accelerated NumPy & SciPy library for high-performance scientific computing
A high-performance linear algebra library for GPU-accelerated deep learning and other applications.
A library for applying GPU-accelerated filters and effects to images on Android devices.
NVIDIA CUDA samples that demonstrate features of the CUDA Toolkit for GPU-accelerated development.
A WebGL-accelerated JavaScript library for machine learning and deep learning on the web.
An interactive NVIDIA-GPU process viewer and management tool for developers working with GPU-accelerated applications.
A hardware-accelerated GPU terminal emulator built with Rust for desktops and browsers.
Material for lectures on GPU-accelerated computing, focused on AI and machine learning topics.
A highly optimized GPU-accelerated library for accelerating deep learning training and inference applications.
A high-performance, non-destructive RAW image editor built with React, Rust, and Tauri for GPU-accelerated performance.
Unlock vGPU functionality for consumer-grade GPUs to enable advanced GPU-accelerated workloads.
A Swift framework for GPU-accelerated video and image processing.
A high-performance GPU-accelerated fluid dynamics simulation library for scientific computing and visualization.
An open-source iOS live streaming framework that supports H264, AAC encoding, RTMP transmission, and GPU-accelerated video effects.
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