{"library":"gpytorch","type":"library","category":null,"description":"GPyTorch is a Gaussian Process (GP) library built on PyTorch, designed for scalable, flexible, and modular GP models. It leverages PyTorch's capabilities for GPU acceleration and automatic differentiation, making it suitable for modern machine learning workflows. GPyTorch frequently releases maintenance updates and new features, with major versions aligning with PyTorch releases.","language":"python","status":"active","version":"1.15.2","tags":["gaussian processes","pytorch","machine learning","deep learning","probabilistic programming"],"last_verified":"Fri May 22","install":[{"cmd":"pip install gpytorch","imports":["import gpytorch","from gpytorch.models import ExactGP","from gpytorch.likelihoods import GaussianLikelihood","from gpytorch.means import ConstantMean","from gpytorch.kernels import ScaleKernel","from gpytorch.kernels import RBFKernel","from gpytorch.distributions import MultivariateNormal"]},{"cmd":"conda install gpytorch -c gpytorch","imports":[]}],"homepage":"https://gpytorch.ai","github":"https://github.com/cornellius-gp/gpytorch","docs":"https://gpytorch.readthedocs.io","changelog":null,"pypi":"https://pypi.org/project/gpytorch/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":40,"avg_install_s":73.3,"avg_import_s":6.6,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/gpytorch/compatibility"}}