Computational chemistry & scientific ML | Gaussian processes, machine-learning potentials, JAX/PyTorch, and molecular simulation
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madgp_snapshot
madgp_snapshot PublicAutomatic-differentiation-based Gaussian processes for molecular and materials potential energy surfaces.
Python
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chemflow-client
chemflow-client PublicPython client and Jupyter widget for conversational 3D molecular editing with ChemFlow.
Python
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gpytorch
gpytorch PublicForked from cornellius-gp/gpytorch
A highly efficient implementation of Gaussian Processes in PyTorch
Python
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