gpytorch
GPyTorch is a scalable and flexible library for Gaussian processes built on PyTorch. It uses numerical linear algebra for efficient inference and supports GPU acceleration, making it suitable for integration with deep learning frameworks. Contributions include advancements in techniques like SKI/KISS-GP and stochastic variational deep kernel learning. Support is available for Python 3.8 and higher, with easy installation via pip or conda. The library is developed with input from significant contributors, enabling strong Gaussian process solutions for diverse applications.
