Hardware Acceleration
Showing 15 of 51 projects
A hardware-accelerated Python library for running Quality-Diversity and neuroevolution algorithms in minutes instead of days.
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.
An end-to-end data management system for IoT, optimizing stream processing across cloud, edge, and sensor deployments.
Java API wrapper for AccelIO, providing high-performance asynchronous messaging and RPC with RDMA and TCP/IP transport support.
Rust library providing safe bindings to the OS X Hypervisor framework for hardware-accelerated virtualization.
A framework for accelerating ROS2 applications using FPGA hardware with support for pub/sub, actions, services, and custom messages.
A script to manage and cycle through live video wallpapers on Hyprland with automatic optimization and Omarchy theme integration.
A fast AES-PRF-based secure random number generator for filling large buffers with cryptographically secure random data.
A cross-platform hardware accelerated GPU and CPU miner for the krist cryptocurrency.
A framework for developing and evaluating LiDAR data processing algorithms, with support for hardware acceleration on embedded platforms.
Abstraction library for parallel kernel acceleration in C++ supporting CPUs, GPUs, and other accelerators.
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