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  1. VQA_LSTM_CNN VQA_LSTM_CNN Public

    Forked from GT-Vision-Lab/VQA_LSTM_CNN

    Train a deeper LSTM and normalized CNN Visual Question Answering model. This current code can get 58.16 on OpenEnded and 63.09 on Multiple-Choice on test-standard.

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  3. habitat-sim habitat-sim Public

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    A flexible, high-performance 3D simulator for Embodied AI research.

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    A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.

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  6. ai-deadlines ai-deadlines Public

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