Showing 1-18 of 18 projects
Keras 3 is a multi-backend deep learning framework for building and training models with support for JAX, TensorFlow, PyTorch, and OpenVINO.
Unified framework for building enterprise RAG pipelines with small, specialized models
YOLOX is a high-performance anchor-free YOLO model for object detection
OpenVINO is an open-source toolkit for optimizing and deploying AI inference on a variety of hardware.
A Go package for computer vision using OpenCV 4 and beyond, with support for DNN, CUDA, and more.
Rapid and powerful OCR toolkit for developers, supporting multiple AI frameworks like ONNX, OpenVINO, and PyTorch.
An open-source anomaly detection library with state-of-the-art algorithms and features like experiment management and edge inference.
A collection of pre-trained deep learning models and demos optimized for high performance using the OpenVINO toolkit.
A nearly-live implementation of OpenAI's Whisper, a powerful speech recognition and translation tool.
OpenMMLab's model deployment framework for optimizing and deploying computer vision models across various backends.
Fast stable diffusion on CPU and AI PC, a Python library for running Stable Diffusion models efficiently on CPUs.
A set of AI-enabled effects, generators, and analyzers for Audacity.
An easy-to-use and high-performance AI deployment framework for developers
A deep learning gateway for Raspberry Pi and other edge devices, enabling AI inference at the edge.
OpenVINO's Stable Diffusion implementation for developers
nGraph is an open-source deep learning compiler framework that optimizes performance for various AI/ML models and runtimes.
Train, evaluate, optimize, and deploy computer vision models with OpenVINO, a toolkit for accelerating deep learning on edge devices.
Neural Network Compression Framework for enhanced OpenVINOโข inference
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