HW Architecture-Mapping Design Space Exploration Framework for Deep Learning Accelerators
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Updated
Jun 12, 2024 - C++
HW Architecture-Mapping Design Space Exploration Framework for Deep Learning Accelerators
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
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.
Utility and docs to run hardware-accelerated Android images on Linux QEMU KVM
Accurate, Hardware Accelerated, Special Functions in Mojo 🔥
QMPlay2 is a video and audio player which can play most formats and codecs.
Native WebRTC use v4l2 h264 hardware/software encoder on Raspberry Pi
Object detection for video surveillance
Innervator: Hardware Acceleration for Neural Networks.
Brevitas: neural network quantization in PyTorch
The Task Parallel System Composer (TaPaSCo)
Hardware Accelerated Neural Net to classify ecg signals on edge devices
Level up your video experience with a modern and user-friendly media player.
NVIDIA Isaac Transport for ROS package for hardware-acceleration friendly movement of messages
Hardware Accelerator for ML
Docker build scripts for TornadoVM on GPUs: https://github.com/beehive-lab/TornadoVM
🐆 A compiler from AI model to RTL (Verilog) accelerator in FPGA hardware with auto design space exploration for *AdderNet*
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