Pixyz
v0.1.0-alpha.0
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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I
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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
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W
A
abs() (pixyz.losses.losses.Loss method)
AbsLoss (class in pixyz.losses.losses)
AddLoss (class in pixyz.losses.losses)
AdversarialJensenShannon (class in pixyz.losses)
AdversarialKullbackLeibler (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)
Beta (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.AdversarialJensenShannon method)
(pixyz.losses.AdversarialKullbackLeibler 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)
Dirichlet (class in pixyz.distributions)
Distribution (class in pixyz.distributions.distributions)
distribution_name (pixyz.distributions.Bernoulli attribute)
(pixyz.distributions.Beta attribute)
(pixyz.distributions.Categorical attribute)
(pixyz.distributions.CustomLikelihoodDistribution attribute)
(pixyz.distributions.DataDistribution attribute)
(pixyz.distributions.Deterministic attribute)
(pixyz.distributions.Dirichlet attribute)
(pixyz.distributions.FactorizedBernoulli attribute)
(pixyz.distributions.Gamma attribute)
(pixyz.distributions.Laplace attribute)
(pixyz.distributions.MixtureModel 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.losses.Loss method)
eval() (pixyz.losses.losses.Loss method)
expectation() (pixyz.losses.losses.Loss method)
experts() (pixyz.distributions.NormalPoE method)
F
FactorizedBernoulli (class in pixyz.distributions)
forward() (pixyz.distributions.distributions.Distribution method)
(pixyz.distributions.distributions.MarginalizeVarDistribution method)
(pixyz.distributions.distributions.ReplaceVarDistribution method)
G
g_loss() (pixyz.losses.AdversarialJensenShannon method)
(pixyz.losses.AdversarialKullbackLeibler method)
(pixyz.losses.AdversarialWassersteinDistance method)
Gamma (class in pixyz.distributions)
GAN (class in pixyz.models)
get_dict_values() (in module pixyz.utils)
get_log_prob() (pixyz.distributions.distributions.Distribution method)
(pixyz.distributions.FactorizedBernoulli method)
(pixyz.distributions.MixtureModel method)
(pixyz.distributions.distributions.MultiplyDistribution method)
(pixyz.distributions.distributions.ReplaceVarDistribution method)
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)
IterativeLoss (class in pixyz.losses)
K
KullbackLeibler (class in pixyz.losses)
L
Laplace (class in pixyz.distributions)
log_likelihood() (pixyz.distributions.CustomLikelihoodDistribution method)
(pixyz.distributions.NormalPoE method)
(pixyz.distributions.distributions.Distribution method)
log_prob() (pixyz.distributions.distributions.Distribution method)
Loss (class in pixyz.losses.losses)
loss_text (pixyz.losses.AdversarialJensenShannon attribute)
(pixyz.losses.AdversarialKullbackLeibler attribute)
(pixyz.losses.AdversarialWassersteinDistance attribute)
(pixyz.losses.IterativeLoss attribute)
(pixyz.losses.KullbackLeibler attribute)
(pixyz.losses.MMD attribute)
(pixyz.losses.WassersteinDistance attribute)
(pixyz.losses.losses.AbsLoss 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)
MixtureModel (class in pixyz.distributions)
ML (class in pixyz.models)
MMD (class in pixyz.losses)
Model (class in pixyz.models)
MulLoss (class in pixyz.losses.losses)
MultiplyDistribution (class in pixyz.distributions.distributions)
N
name (pixyz.distributions.distributions.Distribution attribute)
NegLoss (class in pixyz.losses.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)
posterior() (pixyz.distributions.MixtureModel method)
prob() (pixyz.distributions.distributions.Distribution method)
prob_factorized_text (pixyz.distributions.distributions.Distribution attribute)
(pixyz.distributions.MixtureModel attribute)
(pixyz.distributions.distributions.MarginalizeVarDistribution attribute)
(pixyz.distributions.distributions.MultiplyDistribution attribute)
prob_text (pixyz.distributions.distributions.Distribution attribute)
(pixyz.distributions.MixtureModel attribute)
R
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.MixtureModel method)
(pixyz.distributions.NormalPoE method)
(pixyz.distributions.distributions.Distribution method)
(pixyz.distributions.distributions.MarginalizeVarDistribution method)
(pixyz.distributions.distributions.MultiplyDistribution method)
(pixyz.distributions.distributions.ReplaceVarDistribution method)
sample_mean() (pixyz.distributions.DataDistribution method)
(pixyz.distributions.Deterministic method)
(pixyz.distributions.NormalPoE method)
(pixyz.distributions.RelaxedCategorical method)
(pixyz.distributions.distributions.Distribution method)
(pixyz.distributions.distributions.MarginalizeVarDistribution method)
(pixyz.distributions.distributions.ReplaceVarDistribution method)
sample_variance() (pixyz.distributions.distributions.Distribution method)
(pixyz.distributions.RelaxedCategorical method)
(pixyz.distributions.distributions.MarginalizeVarDistribution method)
(pixyz.distributions.distributions.ReplaceVarDistribution method)
set_distribution() (pixyz.distributions.NormalPoE method)
(pixyz.distributions.RelaxedBernoulli method)
(pixyz.distributions.RelaxedCategorical method)
set_epsilon() (in module pixyz.utils)
set_loss() (pixyz.models.Model method)
slice_step_fn() (pixyz.losses.IterativeLoss method)
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.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.AdversarialWassersteinDistance 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)
W
WassersteinDistance (class in pixyz.losses)
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