MCPcopy Create free account

hub / github.com/darioShar/DLPM / types & classes

Types & classes166 in github.com/darioShar/DLPM

↓ 16 callersClassResnetBlock
dlpm/models/ddpm.py:84
↓ 10 callersClassResnetBlock
dlpm/methods/LIM/models/ddpm.py:84
↓ 9 callersClassAttnBlock
dlpm/models/ddpm.py:144
↓ 8 callersClassLevyStable
dlpm/methods/LIM/torchlevy/levy.py:12
↓ 7 callersClassLevyStable
bem/datasets/torchlevy/levy.py:12
↓ 6 callersClassAttnBlock
dlpm/methods/LIM/models/ddpm.py:144
↓ 5 callersClassNIN
dlpm/methods/LIM/models/layers.py:548
↓ 5 callersClassNIN
dlpm/methods/LIM/models/layerspp.py:60
↓ 5 callersClassNIN
dlpm/models/layers.py:548
↓ 5 callersClassNIN
dlpm/models/layerspp.py:60
↓ 5 callersClassSiLU
dlpm/models/nn.py:12
↓ 5 callersClassTimestepEmbedSequential
A sequential module that passes timestep embeddings to the children that support it as an extra input.
dlpm/models/unet.py:33
↓ 5 callersClassTorchDictionary
dictionary with tensor keys and tensor value warning : this is not actual dictionary that uses hash
dlpm/methods/LIM/torchlevy/torch_dictionary.py:3
↓ 5 callersClassTorchDictionary
dictionary with tensor keys and tensor value warning : this is not actual dictionary that uses hash
bem/datasets/torchlevy/torch_dictionary.py:3
↓ 4 callersClassFIDInceptionC
InceptionC block patched for FID computation
dlpm/methods/LIM/evaluate/inception.py:237
↓ 4 callersClassFIDInceptionC
InceptionC block patched for FID computation
bem/evaluate/inception.py:237
↓ 4 callersClassResBlock
A residual block that can optionally change the number of channels. :param channels: the number of input channels. :param emb_channels:
dlpm/models/unet.py:105
↓ 3 callersClassAttentionBlock
An attention block that allows spatial positions to attend to each other. Originally ported from here, but adapted to the N-d case. http
dlpm/models/unet.py:198
↓ 3 callersClassCrop
dlpm/methods/LIM/datasets/__init__.py:28
↓ 3 callersClassCrop
bem/datasets/__init__.py:58
↓ 3 callersClassDiffusionBlockConditioned
dlpm/models/DiffusionBlocks.py:88
↓ 3 callersClassDownsample
A downsampling layer with an optional convolution. :param channels: channels in the inputs and outputs. :param use_conv: a bool determin
dlpm/models/unet.py:79
↓ 3 callersClassFIDInceptionA
InceptionA block patched for FID computation
dlpm/methods/LIM/evaluate/inception.py:212
↓ 3 callersClassFIDInceptionA
InceptionA block patched for FID computation
bem/evaluate/inception.py:212
↓ 3 callersClassLSUN
`LSUN <https://www.yf.io/p/lsun>`_ dataset. Args: root (string): Root directory for the database files. classes (string or l
dlpm/methods/LIM/datasets/lsun.py:61
↓ 3 callersClassLSUN
`LSUN <https://www.yf.io/p/lsun>`_ dataset. Args: root (string): Root directory for the database files. classes (string or l
bem/datasets/lsun.py:61
↓ 3 callersClassUpsample
An upsampling layer with an optional convolution. :param channels: channels in the inputs and outputs. :param use_conv: a bool determini
dlpm/models/unet.py:48
↓ 2 callersClassCondRCUBlock
dlpm/methods/LIM/models/layers.py:207
↓ 2 callersClassCondRCUBlock
dlpm/models/layers.py:207
↓ 2 callersClassConvMeanPool
dlpm/methods/LIM/models/layers.py:351
↓ 2 callersClassConvMeanPool
dlpm/models/layers.py:351
↓ 2 callersClassDownsample
dlpm/methods/LIM/models/ddpm.py:62
↓ 2 callersClassEMAHelper
dlpm/methods/LIM/models/ema.py:4
↓ 2 callersClassGenerativeLevyProcess
Utilities for training and sampling DLPMa and LIM diffusion models. Ported directly from here, and then adapted over time to further experime
dlpm/methods/GenerativeLevyProcess.py:35
↓ 2 callersClassImagePathDataset
dlpm/methods/LIM/evaluate/fid_score.py:48
↓ 2 callersClassImagePathDataset
bem/evaluate/fid_score.py:48
↓ 2 callersClassInceptionV3
Pretrained InceptionV3 network returning feature maps
dlpm/methods/LIM/evaluate/inception.py:16
↓ 2 callersClassInceptionV3
Pretrained InceptionV3 network returning feature maps
bem/evaluate/inception.py:16
↓ 2 callersClassModel
dlpm/methods/LIM/models/ddpm.py:199
↓ 2 callersClassNCSNpp
NCSN++ model
dlpm/methods/LIM/models/ncsnpp.py:34
↓ 2 callersClassNeptuneLogger
dlpm/NeptuneLogger.py:19
↓ 2 callersClassRCUBlock
dlpm/methods/LIM/models/layers.py:183
↓ 2 callersClassRCUBlock
dlpm/models/layers.py:183
↓ 2 callersClassTinyImageNetDataset
bem/datasets/tinyimagenet.py:143
↓ 2 callersClassUpsample
dlpm/methods/LIM/models/ddpm.py:43
↓ 2 callersClassVPSDE
dlpm/methods/LIM/functions/sde.py:5
↓ 1 callersClassCRPBlock
dlpm/methods/LIM/models/layers.py:133
↓ 1 callersClassCRPBlock
dlpm/models/layers.py:133
↓ 1 callersClassCondCRPBlock
dlpm/methods/LIM/models/layers.py:157
↓ 1 callersClassCondCRPBlock
dlpm/models/layers.py:157
↓ 1 callersClassCondMSFBlock
dlpm/methods/LIM/models/layers.py:253
↓ 1 callersClassCondMSFBlock
dlpm/models/layers.py:253
↓ 1 callersClassDLPM
dlpm/methods/dlpm.py:56
↓ 1 callersClassDiffusion
dlpm/methods/LIM/diffusion.py:37
↓ 1 callersClassDiffusionBlockDeprecated
dlpm/models/Deprecated.py:12
↓ 1 callersClassDownsample
dlpm/models/ddpm.py:62
↓ 1 callersClassEMAHelper
bem/utils_ema.py:4
↓ 1 callersClassEvaluationManager
bem/evaluate/EvaluationManager.py:32
↓ 1 callersClassExpUtils
bem/utils_exp.py:401
↓ 1 callersClassFIDInceptionE_1
First InceptionE block patched for FID computation
dlpm/methods/LIM/evaluate/inception.py:265
↓ 1 callersClassFIDInceptionE_1
First InceptionE block patched for FID computation
bem/evaluate/inception.py:265
↓ 1 callersClassFIDInceptionE_2
Second InceptionE block patched for FID computation
dlpm/methods/LIM/evaluate/inception.py:298
↓ 1 callersClassFIDInceptionE_2
Second InceptionE block patched for FID computation
bem/evaluate/inception.py:298
↓ 1 callersClassGenerationManager
bem/GenerationManager.py:13
↓ 1 callersClassGenerator
bem/datasets/Data.py:17
↓ 1 callersClassGroupNorm32
dlpm/models/nn.py:17
↓ 1 callersClassLSUNClass
dlpm/methods/LIM/datasets/lsun.py:11
↓ 1 callersClassLSUNClass
bem/datasets/lsun.py:11
↓ 1 callersClassMMDStatistic
bem/evaluate/mmd_loss.py:45
↓ 1 callersClassMMD_loss
bem/evaluate/mmd_loss.py:5
↓ 1 callersClassMSFBlock
dlpm/methods/LIM/models/layers.py:234
↓ 1 callersClassMSFBlock
dlpm/models/layers.py:234
↓ 1 callersClassQKVAttention
A module which performs QKV attention.
dlpm/models/unet.py:231
↓ 1 callersClassSinusoidalPositionalEmbedding
dlpm/models/Embeddings.py:10
↓ 1 callersClassStandardTransform
dlpm/methods/LIM/datasets/vision.py:58
↓ 1 callersClassStandardTransform
bem/datasets/vision.py:58
↓ 1 callersClassTinyImageNetPaths
bem/datasets/tinyimagenet.py:68
↓ 1 callersClassTrainingManager
bem/TrainingManager.py:11
↓ 1 callersClassUpsample
dlpm/models/ddpm.py:43
ClassAttnBlock
Channel-wise self-attention block.
dlpm/methods/LIM/models/layers.py:560
ClassAttnBlock
Channel-wise self-attention block.
dlpm/models/layers.py:560
ClassAttnBlockpp
Channel-wise self-attention block. Modified from DDPM.
dlpm/methods/LIM/models/layerspp.py:182
ClassAttnBlockpp
Channel-wise self-attention block. Modified from DDPM.
dlpm/models/layerspp.py:182
ClassCheckpointFunction
dlpm/models/nn.py:142
ClassCombine
Combine information from skip connections.
dlpm/methods/LIM/models/layerspp.py:164
ClassCombine
Combine information from skip connections.
dlpm/models/layerspp.py:164
ClassCondRefineBlock
dlpm/methods/LIM/models/layers.py:313
ClassCondRefineBlock
dlpm/models/layers.py:313
ClassConditionalBatchNorm2d
dlpm/methods/LIM/models/normalization.py:43
ClassConditionalBatchNorm2d
dlpm/models/normalization.py:43
ClassConditionalInstanceNorm2d
dlpm/methods/LIM/models/normalization.py:68
ClassConditionalInstanceNorm2d
dlpm/models/normalization.py:68
ClassConditionalInstanceNorm2dPlus
dlpm/methods/LIM/models/normalization.py:186
ClassConditionalInstanceNorm2dPlus
dlpm/models/normalization.py:186
ClassConditionalNoneNorm2d
dlpm/methods/LIM/models/normalization.py:126
ClassConditionalNoneNorm2d
dlpm/models/normalization.py:126
ClassConditionalResidualBlock
dlpm/methods/LIM/models/layers.py:397
ClassConditionalResidualBlock
dlpm/models/layers.py:397
ClassConditionalVarianceNorm2d
dlpm/methods/LIM/models/normalization.py:93
ClassConditionalVarianceNorm2d
dlpm/models/normalization.py:93
next →1–100 of 166, ranked by callers