Types & classes — github.com/ValentinVignal/midiGenerator

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Types & classes99 in github.com/ValentinVignal/midiGenerator

⨍ Functions 815◇ Types & classes 99 ↳ Endpoints 2

↓ 9 callersClassParser

custom argument parser for MidiGenerator scripts

src/Args/Parser.py:8

↓ 3 callersClassAllInstSequence

src/NN/Sequences/AllInstSequence.py:9

↓ 3 callersClassMidiGenerator

src/MidiGenerator/MidiGenerator.py:12

↓ 2 callersClassChooseLayer

simpleWorkingScripts/keras_if.py:20

↓ 2 callersClassKerasModel

Wrapper of the class tf.keras.Model

src/NN/Models/KerasModel.py:6

↓ 2 callersClassKerasNeuralNetwork

src/NN/KerasNeuralNetwork.py:23

↓ 2 callersClassLstmBlock

src/NN/layers/rnn.py:117

↓ 2 callersClassReducedSequence

This class is use to train with a validation split

src/NN/Sequences/TrainValSequence.py:6

↓ 1 callersClassBandPlayer

src/Midi/Player/BandPlayer.py:11

↓ 1 callersClassBshape

src/mtypes.py:77

↓ 1 callersClassConvDecoder2D

src/NN/layers/coder2D.py:164

↓ 1 callersClassConvDecoder3D

src/NN/layers/coder3D.py:164

↓ 1 callersClassConvEncoder2D

src/NN/layers/coder2D.py:13

↓ 1 callersClassConvEncoder3D

src/NN/layers/coder3D.py:13

↓ 1 callersClassDenseBlock

src/NN/layers/dense.py:12

↓ 1 callersClassDimensions

src/BayesianOpt/Dimensions.py:5

↓ 1 callersClassGraphConv

Simple GCN layer, similar to https://arxiv.org/abs/1609.02907

src/NN/layers/gnc.py:24

↓ 1 callersClassKerasSequence

src/NN/Sequences/KerasSequence.py:10

↓ 1 callersClassLSTMGen

src/NN/layers/rnn.py:247

↓ 1 callersClassLastInstMonoBinary

Last layer for a model

src/NN/layers/last.py:130

↓ 1 callersClassLstm

src/NN/layers/rnn.py:12

↓ 1 callersClassMainClass

simpleWorkingScripts/MixinClasses/MainClass.py:5

↓ 1 callersClassMetronome

Class to do metronome while playing. Also trigger the callbacks at the right time

src/Midi/Player/Metronome.py:10

↓ 1 callersClassMidiPlayer

src/Midi/Player/MidiPlayer.py:9

↓ 1 callersClassMyModel

simpleWorkingScripts/keras_if.py:49

↓ 1 callersClassMySequence

simpleWorkingScripts/working_rnn.py:59

↓ 1 callersClassMySequence

simpleWorkingScripts/stack_no_eager.py:36

↓ 1 callersClassMyTypes

src/mtypes.py:105

↓ 1 callersClassProcessPlotter

We need to use this class because matplotlib doesn't support multi processing. the functions .plot()/.show()/.draw() need to be all in the sa

src/Images/RealTimePianoroll.py:47

↓ 1 callersClassProductOfExpertMask

src/NN/layers/vae.py:71

↓ 1 callersClassRMVAEMono

src/NN/Models/RMVAEMono/RMVAEMono.py:16

↓ 1 callersClassRRMVAEMono

src/NN/Models/RRMVAEMono/RRMVAEMono.py:16

↓ 1 callersClassSAH

src/NN/layers/attention.py:112

↓ 1 callersClassScaleDotProductAttention

src/NN/layers/attention.py:61

↓ 1 callersClassSequenceTrainOnBatch

src/NN/KerasNeuralNetwork.py:515

↓ 1 callersClassShape

src/mtypes.py:45

↓ 1 callersClassSplit

To split a tensor

src/NN/layers/last.py:14

So there is always _acc metric in logs

src/NN/Callbacks/AddAcc.py:6

ClassAddPriorExper

src/NN/layers/vae.py:404

ClassAllInMemorySequence

src/NN/Sequences/AllInMemorySequence.py:10

src/NN/Callbacks/Annealing.py:8

ClassApplyDifferentLayers

src/NN/layers/wrapper/l.py:71

ClassApplyDifferentOnList

src/NN/layers/wrapper/l.py:35

ClassApplySameOnList

src/NN/layers/wrapper/l.py:4

src/Args/ArgType.py:4

ClassBestAccuracy

src/NN/Callbacks/BestAccuracy.py:6

ClassCheckPoint

src/NN/Callbacks/CheckPoint.py:8

ClassController

src/Midi/Player/Controller.py:12

ClassConvBlock2D

src/NN/layers/conv.py:148

ClassConvBlock3D

src/NN/layers/conv.py:16

ClassConvTransposedBlock2D

src/NN/layers/conv.py:199

ClassConvTransposedBlock3D

src/NN/layers/conv.py:65

src/NN/layers/coder2D.py:252

src/NN/layers/coder3D.py:243

ClassDenseCoder

src/NN/layers/dense.py:61

ClassDenseForMean

Used to compute the mean of something using a Dense Layer

src/NN/layers/dense.py:219

ClassDenseForSTD

Used to compute the mean of something using a Dense Layer

src/NN/layers/dense.py:248

ClassDenseSameShape

Return a Dense layer which has the same shape as the inputs

src/NN/layers/dense.py:118

src/NN/layers/coder2D.py:80

src/NN/layers/coder3D.py:80

ClassExpandDims

src/NN/layers/shapes.py:264

ClassFastSequence

src/NN/Sequences/FastSequence.py:12

src/NN/layers/gnc.py:119

src/NN/layers/music.py:7

src/NN/layers/vae.py:259

ClassKLDAnnealing

src/NN/layers/vae.py:309

ClassKerasCallback

src/NN/Callbacks/KerasCallback.py:4

ClassKerasLayer

Wrapper class Layer of Keras

src/NN/layers/KerasLayer.py:6

ClassLastInstMono

Last layer for a model

src/NN/layers/last.py:77

src/NN/layers/last.py:198

ClassLossHistory

src/NN/Callbacks/LossHistory.py:7

src/NN/layers/rnn.py:174

ClassMGComputeGeneration

src/MidiGenerator/MGComputeGeneration.py:11

src/MidiGenerator/MGData.py:10

ClassMGGenerate

src/MidiGenerator/MGGenerate.py:13

src/MidiGenerator/MGInit.py:7

ClassMGLogistic

src/MidiGenerator/MGLogistic.py:7

src/MidiGenerator/MGModel.py:12

ClassMGReplicate

src/MidiGenerator/MGReplicate.py:12

src/MidiGenerator/MGTrain.py:8

ClassMissingInstSequence

train on: only one expert everyone k random combinations

src/NN/Sequences/MissingInstSequence.py:6

ClassMultiLSTMGen

src/NN/layers/rnn.py:390

Return a list of N tensor from Denses layers

src/NN/layers/dense.py:171

ClassNaNToZeros

src/NN/layers/vae.py:217

src/NN/layers/gnc.py:15

ClassProductOfExpert

src/NN/layers/vae.py:12

Give the previous PoE to the next step

src/NN/layers/vae.py:133

ClassRealTimePianoroll

This class is used to plot some pianoroll to the user as fast as possible

src/Images/RealTimePianoroll.py:8

ClassSampleGaussian

Samples a Gaussian N(0, 1)

src/NN/layers/vae.py:243

ClassSeeAllInstSequence

src/NN/Sequences/AllInstSequence.py:32

src/NN/layers/shapes.py:89

simpleWorkingScripts/MixinClasses/SubClass1.py:1

simpleWorkingScripts/MixinClasses/SubClass2.py:1

ClassSwitchListAxis

src/NN/layers/shapes.py:22

Self attention of the tutorial

src/NN/layers/attention.py:9

src/NN/layers/shapes.py:184

ClassUpdateLayers

src/NN/Callbacks/UpdateLayers.py:9

ClassWrapInTrainingMySequence

src/NN/in_training.py:54

ClassWrappedInTrainingModel

src/NN/in_training.py:6