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    $300 Free Credits for Your Google Cloud Projects

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    Build Agents and Models on One Platform

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    Habitat-Lab

    Habitat-Lab

    A modular high-level library to train embodied AI agents

    Habitat-Lab is a modular high-level library for end-to-end development in embodied AI. It is designed to train agents to perform a wide variety of embodied AI tasks in indoor environments, as well as develop agents that can interact with humans in performing these tasks. Allowing users to train agents in a wide variety of single and multi-agent tasks (e.g. navigation, rearrangement, instruction following, question answering, human following), as well as define novel tasks.
    Downloads: 1 This Week
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    BindsNET

    BindsNET

    Simulation of spiking neural networks (SNNs) using PyTorch

    ...This package is used as part of ongoing research on applying SNNs to machine learning (ML) and reinforcement learning (RL) problems in the Biologically Inspired Neural & Dynamical Systems (BINDS) lab.
    Downloads: 8 This Week
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  • 3
    DeepMind Lab

    DeepMind Lab

    A customizable 3D platform for agent-based AI research

    ...If you use DeepMind Lab in your research and would like to cite the DeepMind Lab environment, we suggest you cite the DeepMind Lab paper. To enable compiler optimizations, pass the flag --compilation_mode=opt, or -c opt for short, to each bazel build, bazel test and bazel run command. The flag is omitted from the examples here for brevity, but it should be used for real training and evaluation where performance matters.
    Downloads: 0 This Week
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