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Top 16 onnxruntime open source projects

An Engine-Agnostic Deep Learning Framework in Java

✭ 2,262

java C++Jupyter Notebook c HTML shell deep-learning machine-learning pytorch tensorflow neural-network deep-neural-networks ai ml mxnet autograd onnxruntime djl

ONNX-Mobile-Human-Pose-3D

Python scripts for performing 3D human pose estimation using the Mobile Human Pose model in ONNX.

✭ 69

python pose-estimation onnx 3d-pose-estimation onnxruntime yolov5s

ONNX-HITNET-Stereo-Depth-estimation

Python scripts form performing stereo depth estimation using the HITNET model in ONNX.

✭ 21

python deep-learning stereo-vision stereo-matching depth-estimation onnx onnxruntime stereo-depth-estimation

lite.ai.toolkit

🛠 A lite C++ toolkit of awesome AI models with ONNXRuntime, NCNN, MNN and TNN. YOLOX, YOLOP, MODNet, YOLOR, NanoDet, YOLOX, SCRFD, YOLOX . MNN, NCNN, TNN, ONNXRuntime, CPU/GPU.

✭ 1,354

C++c segmentation face-recognition face-detection object-detection matting mnn ncnn retinaface onnxruntime modnet tnn nanodet yolor scrfd yolox yolox-nano yolox-tiny yolop robustvideomatting mgmatting

ONNX-Runtime-with-TensorRT-and-OpenVINO

Docker scripts for building ONNX Runtime with TensorRT and OpenVINO in manylinux environment

✭ 15

C++python shell Cuda cuda nvidia tensorrt onnx openvino onnxruntime

vs-mlrt

Efficient ML Filter Runtimes for VapourSynth (with built-in support for waifu2x, DPIR, RealESRGANv2, and Real-CUGAN)

✭ 34

C++python CMake ai deep-learning neural-network gpu cuda ml waifu2x artificial-intelligence vapoursynth tensorrt onnx openvino onnxruntime real-esrgan dpir real-cugan

optimum

🏎️ Accelerate training and inference of 🤗 Transformers with easy to use hardware optimization tools

✭ 567

python Makefile training optimization intel transformers inference pytorch quantization onnx onnxruntime graphcore habana

vs-realesrgan

Real-ESRGAN function for VapourSynth

✭ 27

python vapoursynth onnxruntime real-esrgan

YOLOv5-Lite

🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 930+kb (int8) and 1.7M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~

✭ 1,230