Hardware Acceleration
Showing 7 of 43 projects
A modern C++20 GUI framework with MVVM architecture, reactive capabilities, and hardware-accelerated GPU rendering for cross-platform applications.
A PyTorch frontend for JAX that enables running PyTorch code on TPUs and provides seamless PyTorch-JAX interoperability.
Integrates Intel OpenVINO with ROS 2 for efficient deep learning inference in computer vision applications on Intel hardware.
A ROS package for using CSI cameras on Nvidia Jetson platforms (TK1/TX1/TX2) with ROS via gstreamer and Nvidia multimedia API.
Efficient inference implementation for Transformer models on edge devices, originally focused on OpenAI's Whisper speech recognition.
Java API wrapper for AccelIO, providing high-performance asynchronous messaging and RPC with RDMA and TCP/IP transport support.
An end-to-end data management system for IoT, optimizing stream processing across cloud, edge, and sensor deployments.
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