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# mlip-arena
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MLIP Arena is an open-source platform for benchmarking machine learning interatomic potentials (MLIPs). The platform provides a unified interface for users to evaluate the performance of their models on a variety of tasks, including single-point density functional theory calculations and molecular dynamics simulations. The platform is designed to be extensible, allowing users to contribute new models, benchmarks, and training data to the platform.
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## Contribute
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# mlip-arena
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> [!CAUTION]
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> MLIP Arena is currently in pre-alpha. The results are not stable. Please intepret them with care.
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> [!NOTE]
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> If you're interested in joining the effort, please reach out to Yuan at [cyrusyc@berkeley.edu](mailto:cyrusyc@berkeley.edu).
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MLIP Arena is an open-source platform for benchmarking machine learning interatomic potentials (MLIPs). The platform provides a unified interface for users to evaluate the performance of their models on a variety of tasks, including single-point density functional theory calculations and molecular dynamics simulations. The platform is designed to be extensible, allowing users to contribute new models, benchmarks, and training data to the platform.
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## Contribute
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README.md
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# mlip-arena
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MLIP Arena is an open-source platform for benchmarking machine learning interatomic potentials (MLIPs). The platform provides a unified interface for users to evaluate the performance of their models on a variety of tasks, including single-point density functional theory calculations and molecular dynamics simulations. The platform is designed to be extensible, allowing users to contribute new models, benchmarks, and training data to the platform.
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## Contribute
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# mlip-arena
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> [!CAUTION]
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> MLIP Arena is currently in pre-alpha. The results are not stable. Please intepret them with care.
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> [!NOTE]
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> If you're interested in joining the effort, please reach out to Yuan at [cyrusyc@berkeley.edu](mailto:cyrusyc@berkeley.edu).
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MLIP Arena is an open-source platform for benchmarking machine learning interatomic potentials (MLIPs). The platform provides a unified interface for users to evaluate the performance of their models on a variety of tasks, including single-point density functional theory calculations and molecular dynamics simulations. The platform is designed to be extensible, allowing users to contribute new models, benchmarks, and training data to the platform.
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## Contribute
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