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sbi-for-connectomics-data

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sbi-for-connectomics-data / results

1.51 GB

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This dataset has 18 files scanned as unsafe.

NicolasRR

Remove non-LFS code/config files, keep only binary data

5005fcb verified 5 days ago

amortized_posterior_N1000000_PetersCubesCutoff_ss50_cs10_ep130.p
Detected Pickle imports (26)
- "builtins.set",
- "torch.storage._load_from_bytes",
- "nflows.transforms.base.CompositeTransform",
- "nflows.transforms.standard.AffineTransform",
- "sbi.utils.torchutils.BoxUniform",
- "nflows.flows.base.Flow",
- "builtins.range",
- "sbi.utils.sbiutils.Standardize",
- "pyknos.mdn.mdn.MultivariateGaussianMDN",
- "torch.nn.modules.linear.Linear",
- "nflows.transforms.standard.IdentityTransform",
- "torch.device",
- "torch._utils._rebuild_tensor_v2",
- "sbi.inference.posteriors.direct_posterior.DirectPosterior",
- "torch._utils._rebuild_parameter",
- "collections.OrderedDict",
- "numpy.core.multiarray._reconstruct",
- "numpy.ndarray",
- "torch.Size",
- "torch.nn.modules.activation.ReLU",
- "torch.distributions.uniform.Uniform",
- "torch.nn.modules.container.ModuleList",
- "torch.nn.modules.linear.Identity",
- "torch.nn.modules.dropout.Dropout",
- "torch.nn.modules.container.Sequential",
- "numpy.dtype"
How to fix it?
70 kB
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amortized_posterior_N1000000_PetersCubesCutoff_ss50_cs1_ep211.p
Detected Pickle imports (26)
- "nflows.transforms.standard.AffineTransform",
- "sbi.utils.sbiutils.Standardize",
- "torch.nn.modules.dropout.Dropout",
- "torch.nn.modules.activation.ReLU",
- "numpy.ndarray",
- "torch._utils._rebuild_tensor_v2",
- "torch.storage._load_from_bytes",
- "torch.nn.modules.container.ModuleList",
- "torch._utils._rebuild_parameter",
- "torch.Size",
- "nflows.flows.base.Flow",
- "torch.device",
- "sbi.utils.torchutils.BoxUniform",
- "collections.OrderedDict",
- "torch.nn.modules.linear.Identity",
- "numpy.core.multiarray._reconstruct",
- "torch.distributions.uniform.Uniform",
- "builtins.range",
- "nflows.transforms.standard.IdentityTransform",
- "pyknos.mdn.mdn.MultivariateGaussianMDN",
- "numpy.dtype",
- "sbi.inference.posteriors.direct_posterior.DirectPosterior",
- "torch.nn.modules.container.Sequential",
- "nflows.transforms.base.CompositeTransform",
- "builtins.set",
- "torch.nn.modules.linear.Linear"
How to fix it?
70 kB
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amortized_posterior_N1000000_PetersCubesCutoff_ss50_cs25_ep261.p
Detected Pickle imports (26)
- "torch.Size",
- "torch.nn.modules.linear.Identity",
- "builtins.range",
- "sbi.utils.sbiutils.Standardize",
- "nflows.flows.base.Flow",
- "torch._utils._rebuild_parameter",
- "torch.distributions.uniform.Uniform",
- "nflows.transforms.standard.IdentityTransform",
- "sbi.utils.torchutils.BoxUniform",
- "torch.nn.modules.activation.ReLU",
- "torch.nn.modules.dropout.Dropout",
- "torch.nn.modules.linear.Linear",
- "torch.nn.modules.container.ModuleList",
- "builtins.set",
- "nflows.transforms.base.CompositeTransform",
- "pyknos.mdn.mdn.MultivariateGaussianMDN",
- "torch.storage._load_from_bytes",
- "torch._utils._rebuild_tensor_v2",
- "nflows.transforms.standard.AffineTransform",
- "numpy.ndarray",
- "sbi.inference.posteriors.direct_posterior.DirectPosterior",
- "torch.nn.modules.container.Sequential",
- "torch.device",
- "collections.OrderedDict",
- "numpy.dtype",
- "numpy.core.multiarray._reconstruct"
How to fix it?
70 kB
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amortized_posterior_N1000000_PetersCubesCutoff_ss50_cs50_ep253.p
Detected Pickle imports (26)
- "torch._utils._rebuild_tensor_v2",
- "torch.nn.modules.linear.Identity",
- "sbi.inference.posteriors.direct_posterior.DirectPosterior",
- "torch.nn.modules.activation.ReLU",
- "nflows.flows.base.Flow",
- "numpy.core.multiarray._reconstruct",
- "torch.storage._load_from_bytes",
- "torch.distributions.uniform.Uniform",
- "collections.OrderedDict",
- "torch.nn.modules.container.ModuleList",
- "numpy.ndarray",
- "builtins.range",
- "nflows.transforms.standard.AffineTransform",
- "nflows.transforms.base.CompositeTransform",
- "numpy.dtype",
- "pyknos.mdn.mdn.MultivariateGaussianMDN",
- "torch.device",
- "nflows.transforms.standard.IdentityTransform",
- "torch.nn.modules.container.Sequential",
- "sbi.utils.sbiutils.Standardize",
- "torch.Size",
- "torch.nn.modules.dropout.Dropout",
- "torch._utils._rebuild_parameter",
- "sbi.utils.torchutils.BoxUniform",
- "torch.nn.modules.linear.Linear",
- "builtins.set"
How to fix it?
70 kB
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amortized_posterior_N1000000_PetersCubesCutoff_ss50_cs5_ep242.p
Detected Pickle imports (26)
- "builtins.range",
- "sbi.utils.sbiutils.Standardize",
- "builtins.set",
- "torch._utils._rebuild_parameter",
- "collections.OrderedDict",
- "torch.nn.modules.activation.ReLU",
- "torch.distributions.uniform.Uniform",
- "torch.storage._load_from_bytes",
- "numpy.ndarray",
- "nflows.transforms.standard.IdentityTransform",
- "torch.nn.modules.container.Sequential",
- "nflows.transforms.base.CompositeTransform",
- "numpy.core.multiarray._reconstruct",
- "torch._utils._rebuild_tensor_v2",
- "numpy.dtype",
- "sbi.inference.posteriors.direct_posterior.DirectPosterior",
- "pyknos.mdn.mdn.MultivariateGaussianMDN",
- "torch.nn.modules.dropout.Dropout",
- "torch.device",
- "torch.Size",
- "sbi.utils.torchutils.BoxUniform",
- "torch.nn.modules.container.ModuleList",
- "torch.nn.modules.linear.Identity",
- "nflows.flows.base.Flow",
- "torch.nn.modules.linear.Linear",
- "nflows.transforms.standard.AffineTransform"
How to fix it?
70 kB
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amortized_posterior_N1000000_PetersSubCellular_ss50_ep288.p
Detected Pickle imports (26)
- "torch.nn.modules.dropout.Dropout",
- "collections.OrderedDict",
- "torch._utils._rebuild_tensor_v2",
- "builtins.set",
- "nflows.transforms.standard.IdentityTransform",
- "torch.device",
- "builtins.range",
- "nflows.transforms.standard.AffineTransform",
- "numpy.core.multiarray._reconstruct",
- "torch.nn.modules.activation.ReLU",
- "nflows.transforms.base.CompositeTransform",
- "torch.storage._load_from_bytes",
- "nflows.flows.base.Flow",
- "sbi.utils.sbiutils.Standardize",
- "numpy.dtype",
- "sbi.inference.posteriors.direct_posterior.DirectPosterior",
- "torch.Size",
- "torch.nn.modules.container.ModuleList",
- "numpy.ndarray",
- "torch.nn.modules.linear.Linear",
- "torch.distributions.beta.Beta",
- "torch.nn.modules.container.Sequential",
- "torch.nn.modules.linear.Identity",
- "torch._utils._rebuild_parameter",
- "torch.distributions.dirichlet.Dirichlet",
- "pyknos.mdn.mdn.MultivariateGaussianMDN"
How to fix it?
69.5 kB
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amortized_posterior_N2000000_Default_ss50_ep1295.p
Detected Pickle imports (27)
- "torch._utils._rebuild_tensor_v2",
- "torch.storage._load_from_bytes",
- "nflows.transforms.base.CompositeTransform",
- "builtins.range",
- "nflows.transforms.standard.IdentityTransform",
- "torch.Size",
- "sbi.utils.sbiutils.Standardize",
- "builtins.set",
- "torch.nn.modules.container.ModuleList",
- "pyro.distributions.torch.MultivariateNormal",
- "sbi.inference.posteriors.direct_posterior.DirectPosterior",
- "torch.nn.modules.dropout.Dropout",
- "collections.OrderedDict",
- "consbi.simulators.rule_simulator.RuleSimulator",
- "torch._utils._rebuild_parameter",
- "torch.nn.modules.activation.ReLU",
- "consbi.simulators.rule_simulator.default_rule",
- "nflows.transforms.standard.AffineTransform",
- "numpy.dtype",
- "numpy.core.multiarray._reconstruct",
- "pyknos.mdn.mdn.MultivariateGaussianMDN",
- "nflows.flows.base.Flow",
- "torch.nn.modules.container.Sequential",
- "torch.nn.modules.linear.Linear",
- "numpy.ndarray",
- "torch.nn.modules.linear.Identity",
- "torch.device"
How to fix it?
714 MB
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benchmark_poisson_glm_SABC_SNPE.p
Detected Pickle imports (15)
- "pandas.core.internals.managers.BlockManager",
- "pandas.core.frame.DataFrame",
- "pandas.core.indexes.base._new_Index",
- "pandas.core.indexes.range.RangeIndex",
- "torch._utils._rebuild_tensor_v2",
- "pandas.core.arrays.categorical.Categorical",
- "numpy.core.multiarray._reconstruct",
- "builtins.slice",
- "pandas.core.indexes.numeric.Int64Index",
- "pandas.core.dtypes.dtypes.CategoricalDtype",
- "torch.storage._load_from_bytes",
- "collections.OrderedDict",
- "numpy.ndarray",
- "pandas.core.indexes.base.Index",
- "numpy.dtype"
How to fix it?
137 kB
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cross_validation_results_default_rule.p
Detected Pickle imports (6)
- "numpy.ndarray",
- "torch._utils._rebuild_tensor_v2",
- "collections.OrderedDict",
- "numpy.dtype",
- "torch.storage._load_from_bytes",
- "numpy.core.multiarray._reconstruct"
How to fix it?
596 kB
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distance-based-rules-comparison.p
Detected Pickle imports (6)
- "numpy.ndarray",
- "torch.storage._load_from_bytes",
- "numpy.core.multiarray._reconstruct",
- "torch._utils._rebuild_tensor_v2",
- "collections.OrderedDict",
- "numpy.dtype"
How to fix it?
3.89 MB
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npe_d_dso_uniform_06_16_n1000000_r5.p
Detected Pickle imports (34)
- "torch.nn.modules.dropout.Dropout",
- "collections.OrderedDict",
- "torch._utils._rebuild_tensor_v2",
- "torch.distributions.transforms._InverseTransform",
- "nflows.nn.nets.resnet.ResidualBlock",
- "builtins.getattr",
- "nflows.transforms.standard.AffineTransform",
- "numpy.core.multiarray._reconstruct",
- "torch.distributions.transforms.AffineTransform",
- "torch.distributions.transforms.SigmoidTransform",
- "nflows.transforms.base.CompositeTransform",
- "torch.distributions.transforms.IndependentTransform",
- "torch.distributions.transforms.ComposeTransform",
- "torch.storage._load_from_bytes",
- "nflows.flows.base.Flow",
- "sbi.utils.torchutils.BoxUniform",
- "sbi.utils.sbiutils.Standardize",
- "numpy.dtype",
- "sbi.inference.posteriors.direct_posterior.DirectPosterior",
- "torch.Size",
- "torch.nn.modules.container.ModuleList",
- "torch._C._VariableFunctionsClass",
- "sbi.inference.potentials.posterior_based_potential.PosteriorBasedPotential",
- "numpy.ndarray",
- "torch.nn.modules.linear.Linear",
- "nflows.transforms.coupling.PiecewiseRationalQuadraticCouplingTransform",
- "torch.nn.modules.container.Sequential",
- "nflows.transforms.linear.LinearCache",
- "torch.nn.modules.linear.Identity",
- "torch._utils._rebuild_parameter",
- "nflows.transforms.lu.LULinear",
- "torch.distributions.uniform.Uniform",
- "nflows.distributions.normal.StandardNormal",
- "nflows.nn.nets.resnet.ResidualNet"
How to fix it?
1.95 MB
xet

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npe_default_rule_constrained_two_param_uniform_n200000.p
Detected Pickle imports (25)
- "nflows.transforms.standard.AffineTransform",
- "nflows.transforms.made.MADE",
- "nflows.transforms.made.MaskedFeedforwardBlock",
- "sbi.utils.sbiutils.Standardize",
- "torch.nn.modules.dropout.Dropout",
- "builtins.getattr",
- "torch._utils._rebuild_tensor_v2",
- "torch.storage._load_from_bytes",
- "nflows.transforms.permutations.RandomPermutation",
- "torch.nn.modules.container.ModuleList",
- "torch._utils._rebuild_parameter",
- "torch.Size",
- "nflows.flows.base.Flow",
- "sbi.utils.torchutils.BoxUniform",
- "nflows.transforms.made.MaskedLinear",
- "nflows.transforms.autoregressive.MaskedAffineAutoregressiveTransform",
- "torch._C._VariableFunctionsClass",
- "collections.OrderedDict",
- "torch.nn.modules.linear.Identity",
- "torch.distributions.uniform.Uniform",
- "torch.nn.modules.container.Sequential",
- "nflows.transforms.base.CompositeTransform",
- "builtins.set",
- "nflows.distributions.normal.StandardNormal",
- "torch.nn.modules.linear.Linear"
How to fix it?
277 kB
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npe_dso_constrained_2p_gaussian_05_n500000r2x100k.p
Detected Pickle imports (32)
- "builtins.set",
- "torch.storage._load_from_bytes",
- "torch.distributions.transforms._InverseTransform",
- "nflows.transforms.base.CompositeTransform",
- "nflows.transforms.standard.AffineTransform",
- "torch.distributions.transforms.AffineTransform",
- "nflows.distributions.normal.StandardNormal",
- "nflows.transforms.linear.LinearCache",
- "nflows.flows.base.Flow",
- "nflows.transforms.coupling.PiecewiseRationalQuadraticCouplingTransform",
- "sbi.utils.sbiutils.Standardize",
- "torch.nn.modules.linear.Linear",
- "torch.distributions.transforms.IndependentTransform",
- "torch._utils._rebuild_tensor_v2",
- "torch._C._VariableFunctionsClass",
- "sbi.inference.posteriors.direct_posterior.DirectPosterior",
- "torch._utils._rebuild_parameter",
- "sbi.inference.potentials.posterior_based_potential.PosteriorBasedPotential",
- "nflows.transforms.lu.LULinear",
- "collections.OrderedDict",
- "numpy.core.multiarray._reconstruct",
- "torch.distributions.multivariate_normal.MultivariateNormal",
- "numpy.ndarray",
- "torch.Size",
- "builtins.getattr",
- "torch.nn.modules.container.ModuleList",
- "nflows.nn.nets.resnet.ResidualBlock",
- "torch.nn.modules.linear.Identity",
- "torch.nn.modules.dropout.Dropout",
- "nflows.nn.nets.resnet.ResidualNet",
- "torch.nn.modules.container.Sequential",
- "numpy.dtype"
How to fix it?
1.32 MB
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npe_dso_constrained_2p_uniform0-3_n500000r2x100k.p
Detected Pickle imports (35)
- "builtins.set",
- "torch.storage._load_from_bytes",
- "torch.distributions.transforms._InverseTransform",
- "nflows.transforms.base.CompositeTransform",
- "nflows.transforms.standard.AffineTransform",
- "torch.distributions.transforms.AffineTransform",
- "nflows.distributions.normal.StandardNormal",
- "sbi.utils.torchutils.BoxUniform",
- "nflows.transforms.linear.LinearCache",
- "torch.distributions.transforms.ComposeTransform",
- "nflows.flows.base.Flow",
- "nflows.transforms.coupling.PiecewiseRationalQuadraticCouplingTransform",
- "sbi.utils.sbiutils.Standardize",
- "torch.nn.modules.linear.Linear",
- "torch.distributions.transforms.IndependentTransform",
- "torch._utils._rebuild_tensor_v2",
- "torch._C._VariableFunctionsClass",
- "sbi.inference.posteriors.direct_posterior.DirectPosterior",
- "torch._utils._rebuild_parameter",
- "sbi.inference.potentials.posterior_based_potential.PosteriorBasedPotential",
- "nflows.transforms.lu.LULinear",
- "collections.OrderedDict",
- "numpy.core.multiarray._reconstruct",
- "numpy.ndarray",
- "torch.Size",
- "builtins.getattr",
- "torch.distributions.transforms.SigmoidTransform",
- "torch.distributions.uniform.Uniform",
- "torch.nn.modules.container.ModuleList",
- "nflows.nn.nets.resnet.ResidualBlock",
- "torch.nn.modules.linear.Identity",
- "torch.nn.modules.dropout.Dropout",
- "nflows.nn.nets.resnet.ResidualNet",
- "torch.nn.modules.container.Sequential",
- "numpy.dtype"
How to fix it?
1.32 MB
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npe_dso_constrained_2p_uniform0.6_n500000.p
Detected Pickle imports (28)
- "torch.nn.modules.container.ModuleList",
- "numpy.core.multiarray._reconstruct",
- "nflows.transforms.standard.AffineTransform",
- "torch._C._VariableFunctionsClass",
- "collections.OrderedDict",
- "builtins.set",
- "torch.nn.modules.linear.Identity",
- "torch.Size",
- "nflows.nn.nets.resnet.ResidualBlock",
- "torch.distributions.uniform.Uniform",
- "nflows.transforms.linear.LinearCache",
- "nflows.flows.base.Flow",
- "nflows.transforms.base.CompositeTransform",
- "builtins.getattr",
- "nflows.distributions.normal.StandardNormal",
- "torch.nn.modules.dropout.Dropout",
- "nflows.transforms.lu.LULinear",
- "torch._utils._rebuild_tensor_v2",
- "torch.nn.modules.container.Sequential",
- "torch.nn.modules.linear.Linear",
- "sbi.utils.torchutils.BoxUniform",
- "nflows.transforms.coupling.PiecewiseRationalQuadraticCouplingTransform",
- "nflows.nn.nets.resnet.ResidualNet",
- "torch.storage._load_from_bytes",
- "sbi.utils.sbiutils.Standardize",
- "numpy.ndarray",
- "torch._utils._rebuild_parameter",
- "numpy.dtype"
How to fix it?
319 kB
xet

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npe_dso_constrained_2p_uniform_n600000.p
Detected Pickle imports (28)
- "nflows.transforms.linear.LinearCache",
- "nflows.nn.nets.resnet.ResidualBlock",
- "torch._utils._rebuild_tensor_v2",
- "torch.nn.modules.linear.Identity",
- "nflows.transforms.coupling.PiecewiseRationalQuadraticCouplingTransform",
- "nflows.flows.base.Flow",
- "builtins.getattr",
- "numpy.core.multiarray._reconstruct",
- "torch.storage._load_from_bytes",
- "torch.distributions.uniform.Uniform",
- "collections.OrderedDict",
- "torch.nn.modules.container.ModuleList",
- "numpy.ndarray",
- "nflows.transforms.standard.AffineTransform",
- "nflows.transforms.base.CompositeTransform",
- "numpy.dtype",
- "torch._C._VariableFunctionsClass",
- "nflows.transforms.lu.LULinear",
- "nflows.nn.nets.resnet.ResidualNet",
- "torch.nn.modules.container.Sequential",
- "sbi.utils.sbiutils.Standardize",
- "torch.Size",
- "torch.nn.modules.dropout.Dropout",
- "nflows.distributions.normal.StandardNormal",
- "torch._utils._rebuild_parameter",
- "sbi.utils.torchutils.BoxUniform",
- "torch.nn.modules.linear.Linear",
- "builtins.set"
How to fix it?
680 kB
xet

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npe_dso_gaussian003_n1000000.p
Detected Pickle imports (32)
- "torch.nn.modules.dropout.Dropout",
- "collections.OrderedDict",
- "torch._utils._rebuild_tensor_v2",
- "torch.distributions.transforms._InverseTransform",
- "builtins.set",
- "torch.distributions.multivariate_normal.MultivariateNormal",
- "nflows.nn.nets.resnet.ResidualBlock",
- "builtins.getattr",
- "nflows.transforms.standard.AffineTransform",
- "numpy.core.multiarray._reconstruct",
- "torch.distributions.transforms.AffineTransform",
- "nflows.transforms.base.CompositeTransform",
- "torch.distributions.transforms.IndependentTransform",
- "torch.storage._load_from_bytes",
- "nflows.flows.base.Flow",
- "sbi.utils.sbiutils.Standardize",
- "numpy.dtype",
- "sbi.inference.posteriors.direct_posterior.DirectPosterior",
- "torch.Size",
- "torch.nn.modules.container.ModuleList",
- "torch._C._VariableFunctionsClass",
- "sbi.inference.potentials.posterior_based_potential.PosteriorBasedPotential",
- "numpy.ndarray",
- "torch.nn.modules.linear.Linear",
- "nflows.transforms.coupling.PiecewiseRationalQuadraticCouplingTransform",
- "torch.nn.modules.container.Sequential",
- "nflows.transforms.linear.LinearCache",
- "torch.nn.modules.linear.Identity",
- "torch._utils._rebuild_parameter",
- "nflows.transforms.lu.LULinear",
- "nflows.distributions.normal.StandardNormal",
- "nflows.nn.nets.resnet.ResidualNet"
How to fix it?
1.08 MB
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npe_dso_gaussian005_n1000000.p
Detected Pickle imports (32)
- "torch.Size",
- "torch.nn.modules.linear.Identity",
- "sbi.utils.sbiutils.Standardize",
- "nflows.flows.base.Flow",
- "torch._utils._rebuild_parameter",
- "nflows.transforms.lu.LULinear",
- "nflows.distributions.normal.StandardNormal",
- "nflows.nn.nets.resnet.ResidualNet",
- "torch.nn.modules.dropout.Dropout",
- "sbi.inference.potentials.posterior_based_potential.PosteriorBasedPotential",
- "torch.nn.modules.linear.Linear",
- "nflows.transforms.coupling.PiecewiseRationalQuadraticCouplingTransform",
- "torch._C._VariableFunctionsClass",
- "torch.nn.modules.container.ModuleList",
- "torch.distributions.transforms.IndependentTransform",
- "builtins.set",
- "nflows.transforms.linear.LinearCache",
- "torch.distributions.multivariate_normal.MultivariateNormal",
- "nflows.transforms.base.CompositeTransform",
- "torch.storage._load_from_bytes",
- "torch._utils._rebuild_tensor_v2",
- "nflows.transforms.standard.AffineTransform",
- "torch.distributions.transforms._InverseTransform",
- "torch.distributions.transforms.AffineTransform",
- "numpy.ndarray",
- "nflows.nn.nets.resnet.ResidualBlock",
- "torch.nn.modules.container.Sequential",
- "sbi.inference.posteriors.direct_posterior.DirectPosterior",
- "collections.OrderedDict",
- "builtins.getattr",
- "numpy.dtype",
- "numpy.core.multiarray._reconstruct"
How to fix it?
1.08 MB
xet

Add files using upload-large-folder tool 5 days ago
npe_dso_gaussian005_n1000000_r3x200k.p
Detected Pickle imports (32)
- "torch.Size",
- "torch.nn.modules.linear.Identity",
- "sbi.utils.sbiutils.Standardize",
- "nflows.flows.base.Flow",
- "torch._utils._rebuild_parameter",
- "nflows.transforms.lu.LULinear",
- "nflows.distributions.normal.StandardNormal",
- "nflows.nn.nets.resnet.ResidualNet",
- "torch.nn.modules.dropout.Dropout",
- "sbi.inference.potentials.posterior_based_potential.PosteriorBasedPotential",
- "torch.nn.modules.linear.Linear",
- "nflows.transforms.coupling.PiecewiseRationalQuadraticCouplingTransform",
- "torch._C._VariableFunctionsClass",
- "torch.nn.modules.container.ModuleList",
- "torch.distributions.transforms.IndependentTransform",
- "builtins.set",
- "nflows.transforms.linear.LinearCache",
- "torch.distributions.multivariate_normal.MultivariateNormal",
- "nflows.transforms.base.CompositeTransform",
- "torch.storage._load_from_bytes",
- "torch._utils._rebuild_tensor_v2",
- "nflows.transforms.standard.AffineTransform",
- "torch.distributions.transforms._InverseTransform",
- "torch.distributions.transforms.AffineTransform",
- "numpy.ndarray",
- "nflows.nn.nets.resnet.ResidualBlock",
- "torch.nn.modules.container.Sequential",
- "sbi.inference.posteriors.direct_posterior.DirectPosterior",
- "collections.OrderedDict",
- "builtins.getattr",
- "numpy.dtype",
- "numpy.core.multiarray._reconstruct"
How to fix it?
1.75 MB
xet

Add files using upload-large-folder tool 5 days ago
npe_dso_gaussian_05_n500000r2x100k.p
Detected Pickle imports (32)
- "torch.Size",
- "torch.nn.modules.linear.Identity",
- "sbi.utils.sbiutils.Standardize",
- "nflows.flows.base.Flow",
- "torch._utils._rebuild_parameter",
- "nflows.transforms.lu.LULinear",
- "nflows.distributions.normal.StandardNormal",
- "nflows.nn.nets.resnet.ResidualNet",
- "torch.nn.modules.dropout.Dropout",
- "sbi.inference.potentials.posterior_based_potential.PosteriorBasedPotential",
- "torch.nn.modules.linear.Linear",
- "nflows.transforms.coupling.PiecewiseRationalQuadraticCouplingTransform",
- "torch._C._VariableFunctionsClass",
- "torch.nn.modules.container.ModuleList",
- "torch.distributions.transforms.IndependentTransform",
- "builtins.set",
- "nflows.transforms.linear.LinearCache",
- "torch.distributions.multivariate_normal.MultivariateNormal",
- "nflows.transforms.base.CompositeTransform",
- "torch.storage._load_from_bytes",
- "torch._utils._rebuild_tensor_v2",
- "nflows.transforms.standard.AffineTransform",
- "torch.distributions.transforms._InverseTransform",
- "torch.distributions.transforms.AffineTransform",
- "numpy.ndarray",
- "nflows.nn.nets.resnet.ResidualBlock",
- "torch.nn.modules.container.Sequential",
- "sbi.inference.posteriors.direct_posterior.DirectPosterior",
- "collections.OrderedDict",
- "builtins.getattr",
- "numpy.dtype",
- "numpy.core.multiarray._reconstruct"
How to fix it?
1.41 MB
xet

Add files using upload-large-folder tool 5 days ago
npe_dso_linear_constrained_2p_uniform1_n500000.p
Detected Pickle imports (28)
- "nflows.transforms.standard.AffineTransform",
- "nflows.transforms.coupling.PiecewiseRationalQuadraticCouplingTransform",
- "sbi.utils.sbiutils.Standardize",
- "torch.nn.modules.dropout.Dropout",
- "builtins.getattr",
- "numpy.ndarray",
- "torch._utils._rebuild_tensor_v2",
- "torch.storage._load_from_bytes",
- "torch.nn.modules.container.ModuleList",
- "torch._utils._rebuild_parameter",
- "nflows.nn.nets.resnet.ResidualBlock",
- "torch.Size",
- "nflows.flows.base.Flow",
- "sbi.utils.torchutils.BoxUniform",
- "torch._C._VariableFunctionsClass",
- "collections.OrderedDict",
- "nflows.transforms.linear.LinearCache",
- "torch.nn.modules.linear.Identity",
- "numpy.core.multiarray._reconstruct",
- "torch.distributions.uniform.Uniform",
- "nflows.transforms.lu.LULinear",
- "nflows.nn.nets.resnet.ResidualNet",
- "numpy.dtype",
- "torch.nn.modules.container.Sequential",
- "nflows.transforms.base.CompositeTransform",
- "builtins.set",
- "nflows.distributions.normal.StandardNormal",
- "torch.nn.modules.linear.Linear"
How to fix it?
319 kB
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Add files using upload-large-folder tool 5 days ago
npe_dso_linear_constrained_one_param_uniform_n100000.p
Detected Pickle imports (20)
- "builtins.set",
- "torch.storage._load_from_bytes",
- "nflows.transforms.base.CompositeTransform",
- "nflows.transforms.standard.AffineTransform",
- "nflows.distributions.normal.StandardNormal",
- "sbi.utils.torchutils.BoxUniform",
- "nflows.flows.base.Flow",
- "nflows.transforms.coupling.PiecewiseRationalQuadraticCouplingTransform",
- "sbi.neural_nets.flow.ContextSplineMap",
- "sbi.utils.sbiutils.Standardize",
- "torch.nn.modules.linear.Linear",
- "torch._utils._rebuild_tensor_v2",
- "torch._utils._rebuild_parameter",
- "collections.OrderedDict",
- "torch.Size",
- "torch.nn.modules.activation.ReLU",
- "torch.distributions.uniform.Uniform",
- "torch.nn.modules.container.ModuleList",
- "torch.nn.modules.linear.Identity",
- "torch.nn.modules.container.Sequential"
How to fix it?
114 kB
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npe_dso_linear_constrained_two_param_uniform_n100000.p
Detected Pickle imports (25)
- "nflows.transforms.made.MaskedLinear",
- "nflows.transforms.standard.AffineTransform",
- "torch.nn.modules.dropout.Dropout",
- "torch.distributions.uniform.Uniform",
- "torch.nn.modules.container.ModuleList",
- "torch._C._VariableFunctionsClass",
- "torch.nn.modules.linear.Identity",
- "torch.nn.modules.container.Sequential",
- "torch._utils._rebuild_tensor_v2",
- "torch.Size",
- "sbi.utils.sbiutils.Standardize",
- "nflows.transforms.permutations.RandomPermutation",
- "nflows.transforms.made.MADE",
- "nflows.transforms.autoregressive.MaskedAffineAutoregressiveTransform",
- "nflows.flows.base.Flow",
- "torch.storage._load_from_bytes",
- "nflows.transforms.base.CompositeTransform",
- "nflows.transforms.made.MaskedFeedforwardBlock",
- "builtins.getattr",
- "torch._utils._rebuild_parameter",
- "torch.nn.modules.linear.Linear",
- "builtins.set",
- "nflows.distributions.normal.StandardNormal",
- "collections.OrderedDict",
- "sbi.utils.torchutils.BoxUniform"
How to fix it?
277 kB
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npe_dso_linear_uniform_220000.p
Detected Pickle imports (26)
- "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"
How to fix it?
312 kB
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npe_dso_uniform0-3_n500000r2x100k.p
Detected Pickle imports (35)
- "nflows.transforms.linear.LinearCache",
- "nflows.nn.nets.resnet.ResidualBlock",
- "torch._utils._rebuild_tensor_v2",
- "torch.distributions.transforms.ComposeTransform",
- "torch.nn.modules.linear.Identity",
- "torch.distributions.transforms.IndependentTransform",
- "sbi.inference.posteriors.direct_posterior.DirectPosterior",
- "torch.distributions.transforms.AffineTransform",
- "nflows.transforms.coupling.PiecewiseRationalQuadraticCouplingTransform",
- "nflows.flows.base.Flow",
- "builtins.getattr",
- "torch.distributions.transforms.SigmoidTransform",
- "numpy.core.multiarray._reconstruct",
- "torch.storage._load_from_bytes",
- "sbi.inference.potentials.posterior_based_potential.PosteriorBasedPotential",
- "torch.distributions.uniform.Uniform",
- "collections.OrderedDict",
- "torch.nn.modules.container.ModuleList",
- "numpy.ndarray",
- "torch.distributions.transforms._InverseTransform",
- "nflows.transforms.standard.AffineTransform",
- "nflows.transforms.base.CompositeTransform",
- "numpy.dtype",
- "torch._C._VariableFunctionsClass",
- "nflows.transforms.lu.LULinear",
- "nflows.nn.nets.resnet.ResidualNet",
- "torch.nn.modules.container.Sequential",
- "sbi.utils.sbiutils.Standardize",
- "torch.Size",
- "torch.nn.modules.dropout.Dropout",
- "nflows.distributions.normal.StandardNormal",
- "torch._utils._rebuild_parameter",
- "sbi.utils.torchutils.BoxUniform",
- "torch.nn.modules.linear.Linear",
- "builtins.set"
How to fix it?
1.43 MB
xet

Add files using upload-large-folder tool 5 days ago
npe_dso_uniform0.2_n1000000.p
Detected Pickle imports (28)
- "torch.storage._load_from_bytes",
- "torch._C._VariableFunctionsClass",
- "numpy.core.multiarray._reconstruct",
- "nflows.nn.nets.resnet.ResidualBlock",
- "nflows.transforms.coupling.PiecewiseRationalQuadraticCouplingTransform",
- "nflows.transforms.standard.AffineTransform",
- "torch.nn.modules.container.Sequential",
- "collections.OrderedDict",
- "sbi.utils.torchutils.BoxUniform",
- "torch.nn.modules.linear.Linear",
- "builtins.getattr",
- "torch.nn.modules.container.ModuleList",
- "torch.distributions.uniform.Uniform",
- "nflows.transforms.base.CompositeTransform",
- "torch._utils._rebuild_parameter",
- "nflows.nn.nets.resnet.ResidualNet",
- "nflows.distributions.normal.StandardNormal",
- "sbi.utils.sbiutils.Standardize",
- "nflows.transforms.linear.LinearCache",
- "torch._utils._rebuild_tensor_v2",
- "numpy.dtype",
- "nflows.transforms.lu.LULinear",
- "nflows.flows.base.Flow",
- "torch.Size",
- "numpy.ndarray",
- "torch.nn.modules.dropout.Dropout",
- "torch.nn.modules.linear.Identity",
- "builtins.set"
How to fix it?
338 kB
xet

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npe_dso_uniform_06_16_n1000000.p
Detected Pickle imports (28)
- "torch.nn.modules.dropout.Dropout",
- "collections.OrderedDict",
- "torch._utils._rebuild_tensor_v2",
- "builtins.set",
- "nflows.nn.nets.resnet.ResidualBlock",
- "builtins.getattr",
- "nflows.transforms.standard.AffineTransform",
- "numpy.core.multiarray._reconstruct",
- "nflows.transforms.base.CompositeTransform",
- "torch.storage._load_from_bytes",
- "nflows.flows.base.Flow",
- "sbi.utils.torchutils.BoxUniform",
- "sbi.utils.sbiutils.Standardize",
- "numpy.dtype",
- "torch.Size",
- "torch.nn.modules.container.ModuleList",
- "torch._C._VariableFunctionsClass",
- "numpy.ndarray",
- "torch.nn.modules.linear.Linear",
- "nflows.transforms.coupling.PiecewiseRationalQuadraticCouplingTransform",
- "torch.nn.modules.container.Sequential",
- "nflows.transforms.linear.LinearCache",
- "torch.nn.modules.linear.Identity",
- "torch._utils._rebuild_parameter",
- "nflows.transforms.lu.LULinear",
- "torch.distributions.uniform.Uniform",
- "nflows.distributions.normal.StandardNormal",
- "nflows.nn.nets.resnet.ResidualNet"
How to fix it?
338 kB
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npe_measured_data_ss50_ep1295.p
Detected Pickle imports (27)
- "torch._utils._rebuild_tensor_v2",
- "torch.storage._load_from_bytes",
- "nflows.transforms.base.CompositeTransform",
- "builtins.range",
- "nflows.transforms.standard.IdentityTransform",
- "torch.Size",
- "sbi.utils.sbiutils.Standardize",
- "builtins.set",
- "torch.nn.modules.container.ModuleList",
- "pyro.distributions.torch.MultivariateNormal",
- "sbi.inference.posteriors.direct_posterior.DirectPosterior",
- "torch.nn.modules.dropout.Dropout",
- "collections.OrderedDict",
- "consbi.simulators.rule_simulator.RuleSimulator",
- "torch._utils._rebuild_parameter",
- "torch.nn.modules.activation.ReLU",
- "consbi.simulators.rule_simulator.default_rule",
- "nflows.transforms.standard.AffineTransform",
- "numpy.dtype",
- "numpy.core.multiarray._reconstruct",
- "pyknos.mdn.mdn.MultivariateGaussianMDN",
- "nflows.flows.base.Flow",
- "torch.nn.modules.container.Sequential",
- "torch.nn.modules.linear.Linear",
- "numpy.ndarray",
- "torch.nn.modules.linear.Identity",
- "torch.device"
How to fix it?
714 MB
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posterior_predictive_npe_ss50_ths_xs.p
Detected Pickle imports (25)
- "nflows.transforms.standard.AffineTransform",
- "torch.nn.modules.dropout.Dropout",
- "sbi.inference.posteriors.direct_posterior.DirectPosterior",
- "torch.nn.modules.container.ModuleList",
- "torch.nn.modules.linear.Identity",
- "torch.nn.modules.container.Sequential",
- "pyro.distributions.torch.MultivariateNormal",
- "torch._utils._rebuild_tensor_v2",
- "torch.Size",
- "sbi.utils.sbiutils.Standardize",
- "nflows.flows.base.Flow",
- "numpy.ndarray",
- "torch.storage._load_from_bytes",
- "numpy.core.multiarray._reconstruct",
- "torch.device",
- "nflows.transforms.base.CompositeTransform",
- "nflows.transforms.standard.IdentityTransform",
- "torch.nn.modules.activation.ReLU",
- "pyknos.mdn.mdn.MultivariateGaussianMDN",
- "torch._utils._rebuild_parameter",
- "torch.nn.modules.linear.Linear",
- "numpy.dtype",
- "builtins.set",
- "builtins.range",
- "collections.OrderedDict"
How to fix it?
156 kB
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prior_predictive_dso_100000.p
Detected Pickle imports (5)
- "torch.Size",
- "torch.storage._load_from_bytes",
- "collections.OrderedDict",
- "torch._utils._rebuild_tensor_v2",
- "pyro.distributions.torch.MultivariateNormal"
How to fix it?
4 MB
xet

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prior_predictive_samples_dso.p
Detected Pickle imports (3)
- "collections.OrderedDict",
- "torch._utils._rebuild_tensor_v2",
- "torch.storage._load_from_bytes"
How to fix it?
401 kB
xet

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sbc_results_npe_ss50_N1006.p
Detected Pickle imports (3)
- "torch.storage._load_from_bytes",
- "torch._utils._rebuild_tensor_v2",
- "collections.OrderedDict"
How to fix it?
49.8 kB
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tutorial_posterior_gaussian005_N100000.p
Detected Pickle imports (32)
- "nflows.nn.nets.resnet.ResidualBlock",
- "nflows.transforms.base.CompositeTransform",
- "sbi.utils.sbiutils.Standardize",
- "numpy.dtype",
- "nflows.flows.base.Flow",
- "sbi.inference.posteriors.direct_posterior.DirectPosterior",
- "builtins.set",
- "torch.nn.modules.linear.Linear",
- "builtins.getattr",
- "sbi.inference.potentials.posterior_based_potential.PosteriorBasedPotential",
- "torch.distributions.transforms._InverseTransform",
- "torch.nn.modules.linear.Identity",
- "torch._utils._rebuild_tensor_v2",
- "collections.OrderedDict",
- "torch.nn.modules.dropout.Dropout",
- "torch.distributions.transforms.IndependentTransform",
- "torch.nn.modules.container.ModuleList",
- "torch.nn.modules.container.Sequential",
- "numpy.ndarray",
- "nflows.distributions.normal.StandardNormal",
- "torch.distributions.transforms.AffineTransform",
- "torch.Size",
- "torch.distributions.multivariate_normal.MultivariateNormal",
- "nflows.transforms.coupling.PiecewiseRationalQuadraticCouplingTransform",
- "nflows.transforms.standard.AffineTransform",
- "torch._C._VariableFunctionsClass",
- "nflows.transforms.lu.LULinear",
- "nflows.transforms.linear.LinearCache",
- "torch.storage._load_from_bytes",
- "torch._utils._rebuild_parameter",
- "nflows.nn.nets.resnet.ResidualNet",
- "numpy.core.multiarray._reconstruct"
How to fix it?
40.3 MB
xet

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tutorial_posterior_gaussian_05_N10000.p
Detected Pickle imports (32)
- "builtins.set",
- "collections.OrderedDict",
- "nflows.transforms.lu.LULinear",
- "torch.nn.modules.container.Sequential",
- "torch.distributions.multivariate_normal.MultivariateNormal",
- "nflows.transforms.base.CompositeTransform",
- "nflows.transforms.linear.LinearCache",
- "sbi.utils.sbiutils.Standardize",
- "torch.distributions.transforms.AffineTransform",
- "torch.nn.modules.linear.Identity",
- "nflows.flows.base.Flow",
- "torch._C._VariableFunctionsClass",
- "nflows.transforms.coupling.PiecewiseRationalQuadraticCouplingTransform",
- "sbi.inference.potentials.posterior_based_potential.PosteriorBasedPotential",
- "torch._utils._rebuild_tensor_v2",
- "builtins.getattr",
- "sbi.inference.posteriors.direct_posterior.DirectPosterior",
- "torch.nn.modules.dropout.Dropout",
- "torch.nn.modules.linear.Linear",
- "nflows.nn.nets.resnet.ResidualBlock",
- "nflows.transforms.standard.AffineTransform",
- "torch.Size",
- "torch.distributions.transforms._InverseTransform",
- "torch.distributions.transforms.IndependentTransform",
- "numpy.core.multiarray._reconstruct",
- "numpy.dtype",
- "nflows.distributions.normal.StandardNormal",
- "torch._utils._rebuild_parameter",
- "torch.storage._load_from_bytes",
- "torch.nn.modules.container.ModuleList",
- "numpy.ndarray",
- "nflows.nn.nets.resnet.ResidualNet"
How to fix it?
20.3 MB
xet

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unparametrized_dso_rule_predictive_samples.p
Detected Pickle imports (3)
- "torch._utils._rebuild_tensor_v2",
- "collections.OrderedDict",
- "torch.storage._load_from_bytes"
How to fix it?
401 kB
xet

Add files using upload-large-folder tool 5 days ago

Detected Pickle imports (26)

Detected Pickle imports (26)

Detected Pickle imports (26)

Detected Pickle imports (26)

Detected Pickle imports (26)

Detected Pickle imports (26)

Detected Pickle imports (27)

Detected Pickle imports (15)

Detected Pickle imports (6)

Detected Pickle imports (6)

Detected Pickle imports (34)

Detected Pickle imports (25)

Detected Pickle imports (32)

Detected Pickle imports (35)

Detected Pickle imports (28)

Detected Pickle imports (28)

Detected Pickle imports (32)

Detected Pickle imports (32)

Detected Pickle imports (32)

Detected Pickle imports (32)

Detected Pickle imports (28)

Detected Pickle imports (20)

Detected Pickle imports (25)

Detected Pickle imports (26)

Detected Pickle imports (35)

Detected Pickle imports (28)

Detected Pickle imports (28)

Detected Pickle imports (27)

Detected Pickle imports (25)

Detected Pickle imports (5)

Detected Pickle imports (3)

Detected Pickle imports (3)

Detected Pickle imports (32)

Detected Pickle imports (32)

Detected Pickle imports (3)