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This is release 0.2.0 of glasflow. This release includes a couple of new features and a change to the logging when importing the package. It also bumps the minimum PyTorch version to 1.11.0. What's Changed Added Add a multi-layer perceptron (glasflow.nets.mlp.MLP). (#40) Add a resampled Gaussian distribution that uses Learnt Accept/Reject Sampling (glasflow.distributions.resampled.ResampledGaussian). (#40) Add a multivariate uniform distribution for Neural Spline Flows (glasflow.distributions.uniform.MultivariateUniform). (#47) Changed Change logging statements on import to, by default, only appear when an external version of nflows is being used. (#44) Bump minimum version of PyTorch to 1.11.0. (#38) Full Changelog: https://github.com/uofgravity/glasflow/compare/v0.1.2...v0.2.0
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 3 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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