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A curated repository of famous Vision-Language Models (VLMs) detailing their architectures, training procedures, and datasets.
A modular deep learning framework for PyTorch to build neural networks on heterogeneous tabular data.
A PyTorch implementation of TResNet, a high-performance convolutional neural network architecture optimized for GPU training and inference.
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