ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
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Updated
Jun 3, 2024 - C++
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Level up your video experience with a modern and user-friendly media player.
Brevitas: neural network quantization in PyTorch
NVIDIA Isaac Transport for ROS package for hardware-acceleration friendly movement of messages
Hardware Accelerator for ML
Self-hosted, local only NVR and AI Computer Vision software. With features such as object detection, motion detection, face recognition and more, it gives you the power to keep an eye on your home, office or any other place you want to monitor.
Docker build scripts for TornadoVM on GPUs: https://github.com/beehive-lab/TornadoVM
HW Architecture-Mapping Design Space Exploration Framework for Deep Learning Accelerators
🐆 A compiler from AI model to RTL (Verilog) accelerator in FPGA hardware with auto design space exploration for *AdderNet*
QMPlay2 is a video and audio player which can play most formats and codecs.
Hardware accelerated OpenCV, Torch & Tensorrt Ubuntu 20.04 docker images for Jetson Nano containing any python version you need up until the latest 3.12
Native WebRTC use v4l2 h264 hardware/software encoder on Raspberry Pi
OPTIGA™ Trust M Software Framework
An open source light-weight and high performance inference framework for Hailo devices
High-performance, optimized pre-trained template AI application pipelines for systems using Hailo devices
The Hailo PCIe driver is required for interacting with a Hailo device over the PCIe interface
💡 Compute and verify the SHA-256 random beacons used in the Zcash MPC ceremonies.
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