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Types & classes169 in github.com/MaximeVandegar/Papers-in-100-Lines-of-Code

⨍ Functions 586◇ Types & classes 169
↓ 24 callersClassResnetBlockVAE
High_Resolution_Image_Synthesis_with_Latent_Diffusion_Models/model.py:124
↓ 22 callersClassResNetBlock
Pseudo_Numerical_Methods_for_Diffusion_Models_on_Manifolds/unet.py:76
↓ 22 callersClassResNetBlock
Denoising_Diffusion_Probabilistic_Models/unet.py:76
↓ 22 callersClassResNetBlock
DPM_Solver_A_Fast_ODE_Solver_for_Diffusion_Probabilistic_Model_Sampling_in_Around_10_Steps/unet.py:76
↓ 22 callersClassResNetBlock
Denoising_Diffusion_Implicit_Models/unet.py:76
↓ 16 callersClassCoupling
Density_Estimation_Using_Real_NVP/real_nvp.py:113
↓ 8 callersClassELU
Fast_and_Accurate_Deep_Network_Learning_by_Exponential_Linear_Units_ELUs/elu.py:45
↓ 8 callersClassGELU
Gaussian_Error_Linear_Units_GELUs/gelu.py:45
↓ 8 callersClassResBlock
Splatter_Image_Ultra_Fast_Single_View_3D_Reconstruction/unet.py:6
↓ 6 callersClassAttentionBlock
Pseudo_Numerical_Methods_for_Diffusion_Models_on_Manifolds/unet.py:114
↓ 6 callersClassAttentionBlock
Denoising_Diffusion_Probabilistic_Models/unet.py:114
↓ 6 callersClassAttentionBlock
DPM_Solver_A_Fast_ODE_Solver_for_Diffusion_Probabilistic_Model_Sampling_in_Around_10_Steps/unet.py:114
↓ 6 callersClassAttentionBlock
Denoising_Diffusion_Implicit_Models/unet.py:114
↓ 6 callersClassDownConvBlock
Image_to_Image_Translation_with_Conditional_Adversarial_Nets/pix2pix.py:12
↓ 6 callersClassG
Adversarial_Feature_Learning/adversarial_feature_learning.py:22
↓ 6 callersClassGaussianNoiseLayer
Improved_Techniques_for_Training_GANs/semi_supervised_learning.py:36
↓ 6 callersClassU
Deep_Image_Prior/deep_image_prior.py:38
↓ 6 callersClassUpConvBlock
Image_to_Image_Translation_with_Conditional_Adversarial_Nets/pix2pix.py:26
↓ 5 callersClassD
Deep_Image_Prior/deep_image_prior.py:10
↓ 5 callersClassNin
Pseudo_Numerical_Methods_for_Diffusion_Models_on_Manifolds/unet.py:61
↓ 5 callersClassNin
Denoising_Diffusion_Probabilistic_Models/unet.py:61
↓ 5 callersClassNin
DPM_Solver_A_Fast_ODE_Solver_for_Diffusion_Probabilistic_Model_Sampling_in_Around_10_Steps/unet.py:61
↓ 5 callersClassNin
Denoising_Diffusion_Implicit_Models/unet.py:61
↓ 4 callersClassDownResBlock
Improved_Training_of_Wasserstein_GANs/wgan.py:14
↓ 4 callersClassResBlock
High_Resolution_Image_Synthesis_with_Latent_Diffusion_Models/model.py:439
↓ 4 callersClassResBlock
Density_Estimation_Using_Real_NVP/real_nvp.py:80
↓ 4 callersClassSineLayer
Multiplicative_Filter_Networks/mfn.py:10
↓ 4 callersClassSineLayer
Implicit_Neural_Representations_with_Periodic_Activation_Functions/siren.py:9
↓ 4 callersClassUpResBlock
Improved_Training_of_Wasserstein_GANs/wgan.py:36
↓ 3 callersClassD
Adversarial_Feature_Learning/adversarial_feature_learning.py:46
↓ 3 callersClassDownBlock
Splatter_Image_Ultra_Fast_Single_View_3D_Reconstruction/unet.py:26
↓ 3 callersClassDownsample
Pseudo_Numerical_Methods_for_Diffusion_Models_on_Manifolds/unet.py:26
↓ 3 callersClassDownsample
Denoising_Diffusion_Probabilistic_Models/unet.py:26
↓ 3 callersClassDownsample
DPM_Solver_A_Fast_ODE_Solver_for_Diffusion_Probabilistic_Model_Sampling_in_Around_10_Steps/unet.py:26
↓ 3 callersClassDownsample
Denoising_Diffusion_Implicit_Models/unet.py:26
↓ 3 callersClassDownsampleVAE
High_Resolution_Image_Synthesis_with_Latent_Diffusion_Models/model.py:164
↓ 3 callersClassMaskedLinear
Masked_Autoregressive_Flow_for_Density_Estimation/maf.py:73
↓ 3 callersClassUpBlock
Splatter_Image_Ultra_Fast_Single_View_3D_Reconstruction/unet.py:41
↓ 3 callersClassUpsample
Pseudo_Numerical_Methods_for_Diffusion_Models_on_Manifolds/unet.py:42
↓ 3 callersClassUpsample
Denoising_Diffusion_Probabilistic_Models/unet.py:42
↓ 3 callersClassUpsample
DPM_Solver_A_Fast_ODE_Solver_for_Diffusion_Probabilistic_Model_Sampling_in_Around_10_Steps/unet.py:42
↓ 3 callersClassUpsample
Denoising_Diffusion_Implicit_Models/unet.py:42
↓ 3 callersClassUpsampleVAE
High_Resolution_Image_Synthesis_with_Latent_Diffusion_Models/model.py:173
↓ 2 callersClassAttnBlockVAE
High_Resolution_Image_Synthesis_with_Latent_Diffusion_Models/model.py:142
↓ 2 callersClassBatchNorm2dNoAffine
Density_Estimation_Using_Real_NVP/real_nvp.py:44
↓ 2 callersClassBuffer
Unpaired_Image_to_Image_Translation_using_Cycle_Consistent_Adversarial_Networks/cycle_gan.py:76
↓ 2 callersClassCrossAttention
High_Resolution_Image_Synthesis_with_Latent_Diffusion_Models/model.py:365
↓ 2 callersClassDQN
Human_level_control_through_deep_reinforcement_learning/dqn.py:12
↓ 2 callersClassDQN
Deep_Reinforcement_Learning_with_Double_Q_learning/ddqn.py:13
↓ 2 callersClassDataset
Image_to_Image_Translation_with_Conditional_Adversarial_Nets/pix2pix.py:121
↓ 2 callersClassDistribution
Gromov_Wasserstein_Distances_between_Gaussian_Distributions/GWOT.py:30
↓ 2 callersClassE
Adversarial_Feature_Learning/adversarial_feature_learning.py:34
↓ 2 callersClassGenerator
Unpaired_Image_to_Image_Translation_using_Cycle_Consistent_Adversarial_Networks/cycle_gan.py:47
↓ 2 callersClassMaxout
Maxout_Networks/maxout_networks.py:17
↓ 2 callersClassModel
Auto_Encoding_Variational_Bayes/VAEs.py:20
↓ 2 callersClassNLayerDiscriminator
Unpaired_Image_to_Image_Translation_using_Cycle_Consistent_Adversarial_Networks/cycle_gan.py:29
↓ 2 callersClassNMRDataset
Splatter_Image_Ultra_Fast_Single_View_3D_Reconstruction/splatter_image.py:15
↓ 2 callersClassNerfModel
Neural_Radiance_Fields_Without_Known_Camera_Parameters/nerfmm.py:29
↓ 2 callersClassS
Deep_Image_Prior/deep_image_prior.py:25
↓ 2 callersClassSqueeze
Density_Estimation_Using_Real_NVP/real_nvp.py:136
↓ 2 callersClassUniformPrior
Likelihood_free_MCMC_with_Amortized_Approximate_Ratio_Estimators/AALR-MCMC.py:24
↓ 1 callersClassActorCritic
Proximal_Policy_Optimization_Algorithms/ppo.py:13
↓ 1 callersClassBasicTransformerBlock
Matches: *.transformer_blocks.0.attn1.*, *.attn2.*, *.ff.net.*, *.norm1/2/3.*
High_Resolution_Image_Synthesis_with_Latent_Diffusion_Models/model.py:397
↓ 1 callersClassBatchNorm
Masked_Autoregressive_Flow_for_Density_Estimation/maf.py:18
↓ 1 callersClassCLIPEncoder
High_Resolution_Image_Synthesis_with_Latent_Diffusion_Models/model.py:72
↓ 1 callersClassCLIPEncoderLayer
High_Resolution_Image_Synthesis_with_Latent_Diffusion_Models/model.py:58
↓ 1 callersClassCLIPMLP
High_Resolution_Image_Synthesis_with_Latent_Diffusion_Models/model.py:48
↓ 1 callersClassCLIPTextEmbeddings
High_Resolution_Image_Synthesis_with_Latent_Diffusion_Models/model.py:8
↓ 1 callersClassCLIPTextModel_
High_Resolution_Image_Synthesis_with_Latent_Diffusion_Models/model.py:88
↓ 1 callersClassCLIPTextTransformerWrapper
Matches: cond_stage_model.transformer.text_model.*
High_Resolution_Image_Synthesis_with_Latent_Diffusion_Models/model.py:103
↓ 1 callersClassCache
FastNeRF_High_Fidelity_Neural_Rendering_at_200FPS/fast_nerf.py:49
↓ 1 callersClassDQN
Playing_Atari_with_Deep_Reinforcement_Learning/dqn.py:13
↓ 1 callersClassDataset
Flow_Straight_and_Fast_Learning_to_Generate_and_Transfer_Data_with_Rectified_Flow/flow_straight_and_fast.py:21
↓ 1 callersClassDataset
Unpaired_Image_to_Image_Translation_using_Cycle_Consistent_Adversarial_Networks/cycle_gan.py:101
↓ 1 callersClassDataset
Unsupervised_Representation_Learning_with_Deep_Convolutional_Generative_Adversarial_Networks/conv_gan.py:13
↓ 1 callersClassDataset
Wasserstein_GAN/wgan.py:13
↓ 1 callersClassDataset
Improved_Training_of_Wasserstein_GANs/wgan.py:97
↓ 1 callersClassDecoderVAE
High_Resolution_Image_Synthesis_with_Latent_Diffusion_Models/model.py:230
↓ 1 callersClassDiffusionModel
Pseudo_Numerical_Methods_for_Diffusion_Models_on_Manifolds/pndms_solver.py:6
↓ 1 callersClassDiffusionModel
Deep_Unsupervised_Learning_using_Nonequilibrium_Thermodynamics/diffusion_models.py:31
↓ 1 callersClassDiffusionModel
Denoising_Diffusion_Probabilistic_Models/diffusion_models.py:20
↓ 1 callersClassDiffusionModel
DPM_Solver_A_Fast_ODE_Solver_for_Diffusion_Probabilistic_Model_Sampling_in_Around_10_Steps/dpm_solver.py:6
↓ 1 callersClassDiffusionModel
Holds UNet under .diffusion_model to match 'model.diffusion_model.*
High_Resolution_Image_Synthesis_with_Latent_Diffusion_Models/model.py:559
↓ 1 callersClassDiffusionModel
Denoising_Diffusion_Implicit_Models/ddim.py:6
↓ 1 callersClassDiscriminator
Adversarially_Learned_Inference/ali.py:77
↓ 1 callersClassDiscriminator
Improved_Techniques_for_Training_GANs/semi_supervised_learning.py:63
↓ 1 callersClassDiscriminator
Unsupervised_Representation_Learning_with_Deep_Convolutional_Generative_Adversarial_Networks/conv_gan.py:46
↓ 1 callersClassDiscriminator
Least_Squares_Generative_Adversarial_Networks/lsgan.py:38
↓ 1 callersClassDiscriminator
Wasserstein_GAN/wgan.py:58
↓ 1 callersClassDiscriminator
Generative_Adversarial_Networks/GANs.py:44
↓ 1 callersClassDiscriminator
Improved_Training_of_Wasserstein_GANs/wgan.py:78
↓ 1 callersClassDiscriminator
Conditional_Generative_Adversarial_Nets/cgan.py:41
↓ 1 callersClassDownsample
Matches: *.op.* in UNet input blocks
High_Resolution_Image_Synthesis_with_Latent_Diffusion_Models/model.py:317
↓ 1 callersClassDreamBoothPairedDataset
DreamBooth_Fine_Tuning_Text_to_Image_Diffusion_Models_for_Subject_Driven_Generation/dreambooth.py:28
↓ 1 callersClassEncoderVAE
High_Resolution_Image_Synthesis_with_Latent_Diffusion_Models/model.py:183
↓ 1 callersClassEnvironments
Proximal_Policy_Optimization_Algorithms/ppo.py:27
↓ 1 callersClassFastNerf
FastNeRF_High_Fidelity_Neural_Rendering_at_200FPS/fast_nerf.py:9
↓ 1 callersClassFeedForward
Matches keys like: ff.net.0.proj.*, ff.net.2.*
High_Resolution_Image_Synthesis_with_Latent_Diffusion_Models/model.py:349
↓ 1 callersClassFirstStageModel
High_Resolution_Image_Synthesis_with_Latent_Diffusion_Models/model.py:281
↓ 1 callersClassFrozenCLIPEmbedder
Matches: cond_stage_model.transformer.text_model...
High_Resolution_Image_Synthesis_with_Latent_Diffusion_Models/model.py:110
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