openGPMP
Open Source Mathematics Package
Data Types
A
|
B
|
C
|
D
|
E
|
F
|
G
|
H
|
I
|
K
|
L
|
M
|
N
|
P
|
Q
|
R
|
S
|
T
|
V
A
Activation
(
gpmp::ml
)
Arith
(
gpmp
)
AutoEncoder
(
gpmp::ml
)
B
Ball
Basics
(
gpmp
)
Basics
(
pygpmp.arithmetic.arithmetic
)
Basics
(
pygpmp.nt.nt
)
BayesBernoulli
(
gpmp::ml
)
BayesClf
(
gpmp::ml
)
BayesGauss
(
gpmp::ml
)
BayesMultiNom
(
gpmp::ml
)
BayesMutliNom
BNN
C
Camera
CDF
(
gpmp::stats
)
Checkerboard
Cipher
(
gpmp
)
Cipher
(
pygpmp.nt.nt
)
CLmtx
(
gpmp::accl
)
Comb
(
gpmp
)
ConcreteAutoEncoder
(
gpmp::ml
)
ContractiveAutoEncoder
(
gpmp::ml
)
CUDAmtx
(
gpmp::accl
)
D
DataTable
(
gpmp::core
)
DataTable
(
pygpmp.core.core
)
DenoisingAutoEncoder
(
gpmp::ml
)
Describe
(
gpmp::stats
)
DGEMM
(
gpmp::linalg
)
Differential
(
gpmp
)
Differential
(
pygpmp.calculus.calculus
)
E
Edge
Eigen
(
gpmp::linalg
)
EuclideanDivision
(
gpmp
)
F
Factorization
(
gpmp
)
Factorization
(
pygpmp.nt.nt
)
FullAutoEncoder
(
gpmp::ml
)
Func
(
gpmp::optim
)
G
GCDS
(
gpmp
)
Graph
(
gpmp
)
H
HypothesisTest
(
gpmp::stats
)
I
IGEMM
(
gpmp::linalg
)
K
Kfold
(
gpmp::ml
)
KNN
(
gpmp::ml
)
KohonenNet
(
gpmp::ml
)
L
layer
(
gpmp::ml
)
LCG
(
gpmp::core::rndm
)
LinearRegression
(
gpmp::ml
)
LinearRegression
(
pygpmp.ml.ml
)
LinSys
(
gpmp::linalg
)
Logarithms
(
gpmp
)
Logarithms
(
pygpmp.nt.nt
)
Logger
(
gpmp::core
)
Logger
(
pygpmp.core.core
)
LogReg
(
gpmp::ml
)
M
Matrix
(
gpmp::linalg
)
MDLAutoEncoder
(
gpmp::ml
)
Misc
(
gpmp::core
)
Misc
(
pygpmp.core.core
)
Mtx
(
gpmp::linalg
)
mtx
(
gpmp::linalg
)
Mtx
(
pygpmp.linalg.linalg
)
N
neuron
(
gpmp::ml
)
NumericalAnalysis
(
gpmp
)
P
PDF
(
gpmp::stats
)
PrimalityGen
(
gpmp
)
PrimalityGen
(
pygpmp.nt.nt
)
PrimalityTest
(
gpmp
)
PrimalityTest
(
pygpmp.nt.nt
)
PrimaryMLP
(
gpmp::ml
)
ProbDist
(
gpmp::stats
)
Q
Quantile
QuasiNewton
(
gpmp::optim
)
R
RC4
(
gpmp
)
RC4
(
pygpmp.nt.nt
)
RC5
(
gpmp::nt
)
RC6
RecurrentAutoEncoder
(
gpmp::ml
)
RedPike
(
gpmp::nt
)
Regularize
(
gpmp::ml
)
Resampling
(
gpmp::stats
)
S
SecondaryMLP
(
gpmp::ml
)
SGEMM
(
gpmp::linalg
)
SparseAutoEncoder
(
gpmp::ml
)
Squares
(
gpmp
)
Stats
(
gpmp::ml
)
SVC
(
gpmp::ml
)
SVD
(
gpmp::linalg
)
T
Tensor
(
gpmp::linalg
)
Term
(
gpmp
)
Term
(
pygpmp.calculus.calculus
)
ThreadDispatch
(
gpmp::core
)
ThreadPool
(
gpmp::core
)
Trainers
(
gpmp::ml
)
TypeCast
(
gpmp::core
)
TypeCast
(
pygpmp.core.core
)
V
VariationalAutoEncoder
(
gpmp::ml
)
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