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A high-level Deep Learning API for JVM and Android developers, written in Kotlin and inspired by Keras.
A general-purpose PyTorch codebase for 3D object detection with state-of-the-art model implementations and multi-dataset support.
A deep learning model for machine comprehension that uses bi-directional attention flow to answer questions about text passages.
Official repository for Big Transfer (BiT) models, providing pre-trained visual representations for efficient transfer learning across computer vision tasks.
An efficient neural network for semantic segmentation of large-scale 3D point clouds using random sampling.
A TensorFlow library for building Graph Neural Networks with support for heterogeneous graphs and scalable data processing.
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