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Caffe2 is a lightweight, scalable deep learning framework for building and deploying AI models.
A repository sharing notes and references on deploying deep learning models in production.
A convertor/conversion tool for deep learning models across various deep learning frameworks/software.
Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3/V2, and other popular computer vision models for PyTorch.
PyTorch implementation of SSD (Single Shot MultiBox Detector) object detection models with support for retraining on Open Images dataset.
A toolbox to generate adversarial examples that fool neural networks in various ML frameworks.
nGraph is an open-source deep learning compiler framework that optimizes performance for various AI/ML models and runtimes.
A collection of samples and tools for building AI-powered Windows applications using frameworks like TensorFlow and PyTorch.
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