Datasets:

---

mackelab

/

sbi-for-connectomics-data

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Machine Learning in Science 4

• "sbi.utils.sbiutils.Standardize",
• "nflows.transforms.autoregressive.MaskedAffineAutoregressiveTransform",
• "nflows.transforms.made.MaskedFeedforwardBlock",
• "sbi.utils.torchutils.BoxUniform",
• "collections.OrderedDict",
• "torch.distributions.uniform.Uniform",
• "nflows.transforms.made.MADE",
• "torch._C._VariableFunctionsClass",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.batchnorm.BatchNorm1d",
• "nflows.flows.base.Flow",
• "nflows.transforms.made.MaskedLinear",
• "torch.nn.modules.linear.Identity",
• "torch.nn.modules.container.ModuleList",
• "nflows.transforms.standard.AffineTransform",
• "torch.nn.modules.container.Sequential",
• "torch._utils._rebuild_tensor_v2",
• "torch.storage._load_from_bytes",
• "torch.nn.modules.dropout.Dropout",
• "torch.Size",
• "builtins.set",
• "nflows.distributions.normal.StandardNormal",
• "nflows.transforms.base.CompositeTransform",
• "torch._utils._rebuild_parameter",
• "builtins.getattr",
• "nflows.transforms.permutations.RandomPermutation"

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