Pytorch
Variational linear methods for approximating posteriors
Explanation & example will follow # import torch nn = torch.nn class LinearVariationalNormal(nn.Module): def __init__(self, in_features, out_features, bias=True, ...
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Explanation & example will follow # import torch nn = torch.nn class LinearVariationalNormal(nn.Module): def __init__(self, in_features, out_features, bias=True, ...
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