gpytorch
https://github.com/cornellius-gp/gpytorch
Python
A highly efficient implementation of Gaussian Processes in PyTorch
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- Issues
- Correct non-interleaved multitask log_prob event ordering
- Standardized metrics mix independent batch/task target statistics
- Keep GP metric standardization independent across batches and tasks
- MultitaskMultivariateNormal slice/scalar indexing uses an incorrect covariance start offset
- Fix covariance offset in multitask slice indexing
- Fix float-sensitive multitask likelihood assertions
- Handle empty inputs in IndexKernel
- fix(priors): move TransformedDistribution base params with .to()
- fix(likelihoods): unpack noise kwargs in LikelihoodList
- fix(distributions): initialize expanded Delta instance instead of self
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