The choice between PyTorch and TensorFlow remains one of the most debated decisions in AI development. Both frameworks have evolved dramatically since their inception, converging in some areas while ...

The TensorFlow Model Garden is Google’s open-source hub for high-performance machine learning models in vision and NLP, offering both official and research implementations. It provides a powerful ...

I am tring to convert an AMP trained pytorch checkpoint to onnx and then tensorrt fp16, all process are ok, but when loading the tensorrt fp16 model for inference, it will generate Nan values. I had ...

AutoGraph automatically converts Python control flow (like if, for, and while) into graph-executable TensorFlow ops when using tf.function. It improves performance and dynamic behavior but requires ...

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Monocular depth estimation involves predicting scene depth from a single RGB image—a fundamental task in computer vision with wide-ranging applications, including augmented reality, robotics, and 3D ...

Abstract: With an emphasis on convolutional neural networks (CNNs), this research does a thorough analysis of the effectiveness and suitability of the TensorFlow and PyTorch frameworks for image ...

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