Pixyz
v0.0.2
Package Reference
pixyz.distributions (Distribution API)
pixyz.losses (Loss API)
pixyz.models (Model API)
pixyz.utils
Pixyz
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B
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C
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D
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E
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F
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G
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M
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N
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P
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R
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S
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T
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V
A
AddLoss (class in pixyz.losses.losses)
AdversarialJSDivergence (class in pixyz.losses)
AdversarialWassersteinDistance (class in pixyz.losses)
B
BatchMean (class in pixyz.losses.losses)
BatchSum (class in pixyz.losses.losses)
Bernoulli (class in pixyz.distributions)
C
Categorical (class in pixyz.distributions)
cond_var (pixyz.distributions.distributions.Distribution attribute)
CrossEntropy (class in pixyz.losses)
CustomLikelihoodDistribution (class in pixyz.distributions)
D
d_loss() (pixyz.losses.AdversarialJSDivergence method)
(pixyz.losses.AdversarialWassersteinDistance method)
DataDistribution (class in pixyz.distributions)
delete_dict_values() (in module pixyz.utils)
detach_dict() (in module pixyz.utils)
Deterministic (class in pixyz.distributions)
Distribution (class in pixyz.distributions.distributions)
distribution_name (pixyz.distributions.Bernoulli attribute)
(pixyz.distributions.Categorical attribute)
(pixyz.distributions.CustomLikelihoodDistribution attribute)
(pixyz.distributions.DataDistribution attribute)
(pixyz.distributions.Deterministic attribute)
(pixyz.distributions.FactorizedBernoulli attribute)
(pixyz.distributions.Normal attribute)
(pixyz.distributions.RelaxedBernoulli attribute)
(pixyz.distributions.RelaxedCategorical attribute)
(pixyz.distributions.distributions.Distribution attribute)
(pixyz.distributions.distributions.MarginalizeVarDistribution attribute)
(pixyz.distributions.distributions.ReplaceVarDistribution attribute)
DivLoss (class in pixyz.losses.losses)
E
ELBO (class in pixyz.losses)
Entropy (class in pixyz.losses)
epsilon() (in module pixyz.utils)
estimate() (pixyz.losses.AdversarialJSDivergence method)
(pixyz.losses.CrossEntropy method)
(pixyz.losses.ELBO method)
(pixyz.losses.Entropy method)
(pixyz.losses.MultiModalContrastivenessLoss method)
(pixyz.losses.NLL method)
(pixyz.losses.SimilarityLoss method)
(pixyz.losses.StochasticReconstructionLoss method)
(pixyz.losses.losses.AddLoss method)
(pixyz.losses.losses.BatchMean method)
(pixyz.losses.losses.BatchSum method)
(pixyz.losses.losses.DivLoss method)
(pixyz.losses.losses.Loss method)
(pixyz.losses.losses.LossOperator method)
(pixyz.losses.losses.MulLoss method)
(pixyz.losses.losses.NegLoss method)
(pixyz.losses.losses.Parameter method)
(pixyz.losses.losses.SubLoss method)
experts() (pixyz.distributions.NormalPoE method)
F
FactorizedBernoulli (class in pixyz.distributions)
forward() (pixyz.distributions.distributions.Distribution method)
(pixyz.distributions.RealNVP method)
(pixyz.distributions.distributions.MarginalizeVarDistribution method)
(pixyz.distributions.distributions.ReplaceVarDistribution method)
G
g_loss() (pixyz.losses.AdversarialJSDivergence method)
(pixyz.losses.AdversarialWassersteinDistance method)
GAN (class in pixyz.models)
get_dict_values() (in module pixyz.utils)
get_params() (pixyz.distributions.distributions.Distribution method)
(pixyz.distributions.NormalPoE method)
(pixyz.distributions.distributions.MarginalizeVarDistribution method)
(pixyz.distributions.distributions.ReplaceVarDistribution method)
I
inh_var (pixyz.distributions.distributions.MultiplyDistribution attribute)
input_var (pixyz.distributions.CustomLikelihoodDistribution attribute)
(pixyz.distributions.DataDistribution attribute)
(pixyz.distributions.distributions.Distribution attribute)
(pixyz.distributions.distributions.MarginalizeVarDistribution attribute)
(pixyz.distributions.distributions.MultiplyDistribution attribute)
(pixyz.distributions.distributions.ReplaceVarDistribution attribute)
(pixyz.losses.losses.Loss attribute)
L
log_likelihood() (pixyz.distributions.CustomLikelihoodDistribution method)
(pixyz.distributions.NormalPoE method)
(pixyz.distributions.RealNVP method)
(pixyz.distributions.RelaxedBernoulli method)
(pixyz.distributions.RelaxedCategorical method)
(pixyz.distributions.distributions.Distribution method)
(pixyz.distributions.distributions.MarginalizeVarDistribution method)
(pixyz.distributions.distributions.MultiplyDistribution method)
(pixyz.distributions.distributions.ReplaceVarDistribution method)
Loss (class in pixyz.losses.losses)
loss_text (pixyz.losses.AdversarialJSDivergence attribute)
(pixyz.losses.AdversarialWassersteinDistance attribute)
(pixyz.losses.CrossEntropy attribute)
(pixyz.losses.ELBO attribute)
(pixyz.losses.Entropy attribute)
(pixyz.losses.NLL attribute)
(pixyz.losses.StochasticReconstructionLoss attribute)
(pixyz.losses.losses.AddLoss attribute)
(pixyz.losses.losses.BatchMean attribute)
(pixyz.losses.losses.BatchSum attribute)
(pixyz.losses.losses.DivLoss attribute)
(pixyz.losses.losses.Loss attribute)
(pixyz.losses.losses.LossOperator attribute)
(pixyz.losses.losses.MulLoss attribute)
(pixyz.losses.losses.NegLoss attribute)
(pixyz.losses.losses.Parameter attribute)
(pixyz.losses.losses.SubLoss attribute)
LossOperator (class in pixyz.losses.losses)
LossSelfOperator (class in pixyz.losses.losses)
M
marginalize_var() (pixyz.distributions.distributions.Distribution method)
MarginalizeVarDistribution (class in pixyz.distributions.distributions)
mean() (pixyz.losses.losses.Loss method)
ML (class in pixyz.models)
Model (class in pixyz.models)
MulLoss (class in pixyz.losses.losses)
MultiModalContrastivenessLoss (class in pixyz.losses)
MultiplyDistribution (class in pixyz.distributions.distributions)
N
name (pixyz.distributions.distributions.Distribution attribute)
NegLoss (class in pixyz.losses.losses)
NLL (class in pixyz.losses)
Normal (class in pixyz.distributions)
NormalPoE (class in pixyz.distributions)
P
Parameter (class in pixyz.losses.losses)
pixyz.distributions (module)
pixyz.losses (module)
pixyz.models (module)
pixyz.utils (module)
PlanarFlow (class in pixyz.distributions)
prob_factorized_text (pixyz.distributions.distributions.Distribution attribute)
(pixyz.distributions.distributions.MarginalizeVarDistribution attribute)
(pixyz.distributions.distributions.MultiplyDistribution attribute)
prob_text (pixyz.distributions.distributions.Distribution attribute)
(pixyz.distributions.RealNVP attribute)
R
RealNVP (class in pixyz.distributions)
RelaxedBernoulli (class in pixyz.distributions)
RelaxedCategorical (class in pixyz.distributions)
replace_dict_keys() (in module pixyz.utils)
replace_var() (pixyz.distributions.distributions.Distribution method)
ReplaceVarDistribution (class in pixyz.distributions.distributions)
S
sample() (pixyz.distributions.DataDistribution method)
(pixyz.distributions.Deterministic method)
(pixyz.distributions.NormalPoE method)
(pixyz.distributions.RealNVP method)
(pixyz.distributions.distributions.Distribution method)
(pixyz.distributions.distributions.MarginalizeVarDistribution method)
(pixyz.distributions.distributions.MultiplyDistribution method)
(pixyz.distributions.distributions.ReplaceVarDistribution method)
sample_inv() (pixyz.distributions.RealNVP method)
sample_mean() (pixyz.distributions.Bernoulli method)
(pixyz.distributions.Categorical method)
(pixyz.distributions.Normal method)
(pixyz.distributions.NormalPoE method)
(pixyz.distributions.RelaxedBernoulli method)
(pixyz.distributions.RelaxedCategorical method)
(pixyz.distributions.distributions.Distribution method)
(pixyz.distributions.distributions.MarginalizeVarDistribution method)
(pixyz.distributions.distributions.ReplaceVarDistribution method)
set_epsilon() (in module pixyz.utils)
set_loss() (pixyz.models.Model method)
SimilarityLoss (class in pixyz.losses)
StochasticReconstructionLoss (class in pixyz.losses)
SubLoss (class in pixyz.losses.losses)
sum() (pixyz.losses.losses.Loss method)
sum_samples() (in module pixyz.distributions.distributions)
T
test() (pixyz.losses.AdversarialJSDivergence method)
(pixyz.losses.losses.Loss method)
(pixyz.losses.losses.LossOperator method)
(pixyz.losses.losses.LossSelfOperator method)
(pixyz.models.GAN method)
(pixyz.models.ML method)
(pixyz.models.Model method)
(pixyz.models.VAE method)
(pixyz.models.VI method)
tolist() (in module pixyz.utils)
train() (pixyz.losses.AdversarialJSDivergence method)
(pixyz.losses.AdversarialWassersteinDistance method)
(pixyz.losses.losses.Loss method)
(pixyz.losses.losses.LossOperator method)
(pixyz.losses.losses.LossSelfOperator method)
(pixyz.models.GAN method)
(pixyz.models.ML method)
(pixyz.models.Model method)
(pixyz.models.VAE method)
(pixyz.models.VI method)
V
VAE (class in pixyz.models)
var (pixyz.distributions.distributions.Distribution attribute)
VI (class in pixyz.models)