subject,function,module,relative path
GPflow,AbstractPosterior.__init__,posteriors,gpflow/posteriors.py
GPflow,AbstractPosterior._conditional_with_precompute,posteriors,gpflow/posteriors.py
GPflow,BasePosterior.__init__,posteriors,gpflow/posteriors.py
GPflow,BayesianGPLVM.__init__,gplvm,gpflow/models/gplvm.py
GPflow,Bernoulli.__init__,scalar_discrete,gpflow/likelihoods/scalar_discrete.py
GPflow,Beta.__init__,scalar_continuous,gpflow/likelihoods/scalar_continuous.py
GPflow,ChangePoints.K,changepoints,gpflow/kernels/changepoints.py
GPflow,ChangePoints.K_diag,changepoints,gpflow/kernels/changepoints.py
GPflow,ChangePoints._sigmoids,changepoints,gpflow/kernels/changepoints.py
GPflow,DiagonalGaussian.__init__,probability_distributions,gpflow/probability_distributions.py
GPflow,DummyStepCallback.callback,test_monitor,tests/gpflow/test_monitor.py
GPflow,ExecuteCallback.__init__,base,gpflow/monitor/base.py
GPflow,Exponential.__init__,scalar_continuous,gpflow/likelihoods/scalar_continuous.py
GPflow,FullyCorrelatedPosterior._conditional_with_precompute,posteriors,gpflow/posteriors.py
GPflow,GPLVM.__init__,gplvm,gpflow/models/gplvm.py
GPflow,GPRPosterior._conditional_with_precompute,posteriors,gpflow/posteriors.py
GPflow,GPR_deprecated._add_noise_cov,gpr,gpflow/models/gpr.py
GPflow,Gamma.__init__,scalar_continuous,gpflow/likelihoods/scalar_continuous.py
GPflow,Gaussian.__init__,probability_distributions,gpflow/probability_distributions.py
GPflow,GaussianQuadrature.__call__,base,gpflow/quadrature/base.py
GPflow,GaussianQuadrature.logspace,base,gpflow/quadrature/base.py
GPflow,Identity.A,functions,gpflow/functions.py
GPflow,Identity.b,functions,gpflow/functions.py
GPflow,IndependentPosterior._conditional_with_precompute,posteriors,gpflow/posteriors.py
GPflow,KernelWithConvNN.K,gp_nn,doc/sphinx/notebooks/tailor/gp_nn.pct.py
GPflow,KernelWithConvNN.K,gp_nn,notebooks/tailor/gp_nn.pct.py
GPflow,KernelWithConvNN.K_diag,gp_nn,doc/sphinx/notebooks/tailor/gp_nn.pct.py
GPflow,KernelWithConvNN.K_diag,gp_nn,notebooks/tailor/gp_nn.pct.py
GPflow,Kuf_shared_shared,kufs,gpflow/covariances/multioutput/kufs.py
GPflow,MDN.__init__,mixture_density_network,doc/sphinx/notebooks/tailor/mixture_density_network.pct.py
GPflow,MDN.__init__,mixture_density_network,notebooks/tailor/mixture_density_network.pct.py
GPflow,MDN.maximum_log_likelihood_objective,mixture_density_network,doc/sphinx/notebooks/tailor/mixture_density_network.pct.py
GPflow,MarkovGaussian.__init__,probability_distributions,gpflow/probability_distributions.py
GPflow,Monitor.__call__,base,gpflow/monitor/base.py
GPflow,MonitorTaskGroup.__call__,base,gpflow/monitor/base.py
GPflow,MonitorTaskGroup.__init__,base,gpflow/monitor/base.py
GPflow,MonitorTaskGroup.tasks,base,gpflow/monitor/base.py
GPflow,MonteCarloLikelihood._mc_quadrature,base,gpflow/likelihoods/base.py
GPflow,NaturalGradient._natgrad_steps,natgrad,gpflow/optimizers/natgrad.py
GPflow,NystromPreconditioner.__init__,cglb,gpflow/models/cglb.py
GPflow,Poisson.__init__,scalar_discrete,gpflow/likelihoods/scalar_discrete.py
GPflow,SGPRPosterior._conditional_with_precompute,posteriors,gpflow/posteriors.py
GPflow,SamplingHelper.__init__,mcmc,gpflow/optimizers/mcmc.py
GPflow,SamplingHelper.convert_to_constrained_values,mcmc,gpflow/optimizers/mcmc.py
GPflow,SamplingHelper.target_log_prob_fn._target_log_prob_fn_closure.grad_fn,mcmc,gpflow/optimizers/mcmc.py
GPflow,Scipy._filter_unused_variables,scipy,gpflow/optimizers/scipy.py
GPflow,Scipy.assign_tensors,scipy,gpflow/optimizers/scipy.py
GPflow,Scipy.eval_func._tf_eval,scipy,gpflow/optimizers/scipy.py
GPflow,Scipy.unpack_tensors,scipy,gpflow/optimizers/scipy.py
GPflow,ShapeChecker._parse_checks,checker,gpflow/experimental/check_shapes/checker.py
GPflow,ShapeChecker.check_shape,checker,gpflow/experimental/check_shapes/checker.py
GPflow,ShapeChecker.check_shapes,checker,gpflow/experimental/check_shapes/checker.py
GPflow,SqErr.__call__,test_integration,tests/gpflow/experimental/check_shapes/test_integration.py
GPflow,VGPPosterior._conditional_with_precompute,posteriors,gpflow/posteriors.py
GPflow,XiEta.meanvarsqrt_to_xi,test_natural_gradient,tests/gpflow/optimizers/test_natural_gradient.py
GPflow,XiEta.naturals_to_xi,test_natural_gradient,tests/gpflow/optimizers/test_natural_gradient.py
GPflow,XiEta.xi_to_meanvarsqrt,test_natural_gradient,tests/gpflow/optimizers/test_natural_gradient.py
GPflow,XiNat.meanvarsqrt_to_xi,natgrad,gpflow/optimizers/natgrad.py
GPflow,XiNat.naturals_to_xi,natgrad,gpflow/optimizers/natgrad.py
GPflow,XiNat.xi_to_meanvarsqrt,natgrad,gpflow/optimizers/natgrad.py
GPflow,XiSqrtMeanVar.meanvarsqrt_to_xi,natgrad,gpflow/optimizers/natgrad.py
GPflow,XiSqrtMeanVar.naturals_to_xi,natgrad,gpflow/optimizers/natgrad.py
GPflow,XiSqrtMeanVar.xi_to_meanvarsqrt,natgrad,gpflow/optimizers/natgrad.py
GPflow,XiTransform.meanvarsqrt_to_xi,natgrad,gpflow/optimizers/natgrad.py
GPflow,XiTransform.naturals_to_xi,natgrad,gpflow/optimizers/natgrad.py
GPflow,XiTransform.xi_to_meanvarsqrt,natgrad,gpflow/optimizers/natgrad.py
GPflow,_assert_equal_data,util,gpflow/models/util.py
GPflow,_cast_to_dtype,base,gpflow/base.py
GPflow,_data,test_bo_integration,tests/gpflow/posteriors/test_bo_integration.py
GPflow,_dense_conditional,conditionals,gpflow/conditionals/conditionals.py
GPflow,_extend_data,test_bo_integration,tests/gpflow/posteriors/test_bo_integration.py
GPflow,_f,test_bo_integration,tests/gpflow/posteriors/test_bo_integration.py
GPflow,_f.f,test_bo_integration,tests/gpflow/posteriors/test_bo_integration.py
GPflow,_fallback_Kuf,kufs,gpflow/covariances/multioutput/kufs.py
GPflow,_inverse_lower_triangular,natgrad,gpflow/optimizers/natgrad.py
GPflow,_sample_conditional,sample_conditionals,gpflow/conditionals/multioutput/sample_conditionals.py
GPflow,_sample_conditional,sample_conditionals,gpflow/conditionals/sample_conditionals.py
GPflow,_sparse_conditional,conditionals,gpflow/conditionals/conditionals.py
GPflow,_to_unconstrained,base,gpflow/base.py
GPflow,_validate_unconstrained_value,base,gpflow/base.py
GPflow,add_noise_cov,model_utils,gpflow/utilities/model_utils.py
GPflow,assert_all_array_elements_almost_equal,test_multioutput,tests/gpflow/conditionals/test_multioutput.py
GPflow,assert_decreasing,test_function_params,tests/gpflow/likelihoods/test_function_params.py
GPflow,assert_different,test_natural_gradient,tests/gpflow/optimizers/test_natural_gradient.py
GPflow,assert_increasing,test_function_params,tests/gpflow/likelihoods/test_function_params.py
GPflow,base_conditional,util,gpflow/conditionals/util.py
GPflow,base_conditional_with_lm,util,gpflow/conditionals/util.py
GPflow,broadcasting_elementwise,ops,gpflow/utilities/ops.py
GPflow,build_model_with_uniform_prior_no_transforms.parameter,test_mcmc,tests/gpflow/optimizers/test_mcmc.py
GPflow,cast,ops,gpflow/utilities/ops.py
GPflow,checkpointing_training_loop,intro_to_gpflow2,doc/sphinx/notebooks/intro_to_gpflow2.pct.py
GPflow,checkpointing_training_loop,intro_to_gpflow2,notebooks/intro_to_gpflow2.pct.py
GPflow,chol,test_conditionals,tests/gpflow/conditionals/test_conditionals.py
GPflow,coregionalization_conditional,conditionals,gpflow/conditionals/multioutput/conditionals.py
GPflow,difference_matrix,ops,gpflow/utilities/ops.py
GPflow,expand_cov,test_multioutput,tests/gpflow/conditionals/test_multioutput.py
GPflow,expand_independent_outputs,util,gpflow/conditionals/util.py
GPflow,expectation_to_meanvarsqrt,natgrad,gpflow/optimizers/natgrad.py
GPflow,expectation_to_natural,natgrad,gpflow/optimizers/natgrad.py
GPflow,eye,ops,gpflow/utilities/ops.py
GPflow,f,test_integration,tests/gpflow/experimental/check_shapes/test_integration.py
GPflow,fallback_independent_latent_conditional,conditionals,gpflow/conditionals/multioutput/conditionals.py
GPflow,fully_correlated_conditional,util,gpflow/conditionals/util.py
GPflow,fully_correlated_conditional_repeat,util,gpflow/conditionals/util.py
GPflow,get_notebooks.notebook_ignored,test_notebooks,tests/integration/test_notebooks.py
GPflow,get_tensorflow_shape,shapes,gpflow/experimental/check_shapes/shapes.py
GPflow,gpr_and_vgp,test_natural_gradient,tests/gpflow/optimizers/test_natural_gradient.py
GPflow,independent_interdomain_conditional,util,gpflow/conditionals/util.py
GPflow,inducing_point_conditional,conditionals,gpflow/conditionals/multioutput/conditionals.py
GPflow,inv_probit,utils,gpflow/likelihoods/utils.py
GPflow,leading_transpose,ops,gpflow/utilities/ops.py
GPflow,map_fn,gp_nn,doc/sphinx/notebooks/tailor/gp_nn.pct.py
GPflow,map_fn,gp_nn,notebooks/tailor/gp_nn.pct.py
GPflow,meanvarsqrt_to_expectation,natgrad,gpflow/optimizers/natgrad.py
GPflow,meanvarsqrt_to_natural,natgrad,gpflow/optimizers/natgrad.py
GPflow,mix_latent_gp,util,gpflow/conditionals/util.py
GPflow,multiple_assign,traversal,gpflow/utilities/traversal.py
GPflow,mvnquad,deprecated,gpflow/quadrature/deprecated.py
GPflow,natural_to_expectation,natgrad,gpflow/optimizers/natgrad.py
GPflow,natural_to_meanvarsqrt,natgrad,gpflow/optimizers/natgrad.py
GPflow,ndiag_mc,deprecated,gpflow/quadrature/deprecated.py
GPflow,ndiag_mc.eval_func,deprecated,gpflow/quadrature/deprecated.py
GPflow,ndiagquad,deprecated,gpflow/quadrature/deprecated.py
GPflow,ndiagquad,ndiagquad_old,tests/gpflow/quadrature/ndiagquad_old.py
GPflow,ndiagquad.eval_func,ndiagquad_old,tests/gpflow/quadrature/ndiagquad_old.py
GPflow,ndiagquad.wrapper,deprecated,gpflow/quadrature/deprecated.py
GPflow,no_assert,test_function_params,tests/gpflow/likelihoods/test_function_params.py
GPflow,optimization_step,intro_to_gpflow2,doc/sphinx/notebooks/intro_to_gpflow2.pct.py
GPflow,optimization_step,intro_to_gpflow2,notebooks/intro_to_gpflow2.pct.py
GPflow,pca_reduce,ops,gpflow/utilities/ops.py
GPflow,pca_reduce,test_ops,tests/gpflow/utilities/test_ops.py
GPflow,predict_all,test_multioutput,tests/gpflow/conditionals/test_multioutput.py
GPflow,rollaxis_left,util,gpflow/conditionals/util.py
GPflow,rollaxis_right,util,gpflow/conditionals/util.py
GPflow,sample_mvn,util,gpflow/conditionals/util.py
GPflow,separate_independent_conditional,conditionals,gpflow/conditionals/multioutput/conditionals.py
GPflow,separate_independent_conditional_implementation,util,gpflow/conditionals/util.py
GPflow,sgpr_and_svgp,test_natural_gradient,tests/gpflow/optimizers/test_natural_gradient.py
GPflow,shared_independent_conditional,conditionals,gpflow/conditionals/multioutput/conditionals.py
GPflow,single_gp_conditional,util,gpflow/conditionals/util.py
GPflow,square_distance,ops,gpflow/utilities/ops.py
GPflow,step,monitoring,doc/sphinx/notebooks/basics/monitoring.pct.py
GPflow,step,monitoring,notebooks/basics/monitoring.pct.py
GPflow,swap_dimensions,natgrad,gpflow/optimizers/natgrad.py
GPflow,swap_dimensions.wrapper,natgrad,gpflow/optimizers/natgrad.py
GPflow,test_ExecuteCallback_arguments.cb1,test_monitor,tests/gpflow/test_monitor.py
GPflow,test_ExecuteCallback_arguments.cb3,test_monitor,tests/gpflow/test_monitor.py
GPflow,test_check_shapes__disable__speed.time_no_checks.f,test_integration,tests/gpflow/experimental/check_shapes/test_integration.py
GPflow,test_check_shapes__disable__speed.time_with_checks.f,test_integration,tests/gpflow/experimental/check_shapes/test_integration.py
GPflow,test_check_shapes__tensorflow.f,test_integration,tests/gpflow/experimental/check_shapes/test_integration.py
GPflow,test_check_shapes__tensorflow__keras.MyModel.call,test_integration,tests/gpflow/experimental/check_shapes/test_integration.py
GPflow,test_check_shapes__tensorflow__keras.f,test_integration,tests/gpflow/experimental/check_shapes/test_integration.py
GPflow,test_compile_monitor.tf_func,test_monitor,tests/gpflow/test_monitor.py
GPflow,test_example__basic.linear_model,test_check_shapes_examples,doc/sphinx/examples/test_check_shapes_examples.py
GPflow,test_example__basic.linear_model,test_check_shapes_examples,tests/examples/test_check_shapes_examples.py
GPflow,test_independent_interdomain_conditional_bug_regression.compute_Knn,test_multioutput,tests/gpflow/conditionals/test_multioutput.py
GPflow,test_issue_1864.f,test_integration,tests/gpflow/experimental/check_shapes/test_integration.py
GPflow,test_issue_1936.f_if,test_integration,tests/gpflow/experimental/check_shapes/test_integration.py
GPflow,test_issue_1936.f_tf_cond,test_integration,tests/gpflow/experimental/check_shapes/test_integration.py
GPflow,test_parameter_saved.Model.exec,test_base,tests/gpflow/test_base.py
GPflow,test_posterior_bo_integration__optimization,test_bo_integration,tests/gpflow/posteriors/test_bo_integration.py
GPflow,test_posterior_bo_integration__predict_f,test_bo_integration,tests/gpflow/posteriors/test_bo_integration.py
GPflow,test_quadrature.conditional_fn,test_uncertain_conditional,tests/gpflow/conditionals/test_uncertain_conditional.py
GPflow,test_quadrature.mean_fn,test_uncertain_conditional,tests/gpflow/conditionals/test_uncertain_conditional.py
GPflow,test_quadrature.mean_sq_fn,test_uncertain_conditional,tests/gpflow/conditionals/test_uncertain_conditional.py
GPflow,test_quadrature.var_fn,test_uncertain_conditional,tests/gpflow/conditionals/test_uncertain_conditional.py
GPflow,test_svgp.model_closure,test_dynamic_shapes,tests/integration/test_dynamic_shapes.py
GPflow,test_svgp_multiclass.model_closure,test_dynamic_shapes,tests/integration/test_dynamic_shapes.py
GPflow,training_loop,misc,gpflow/utilities/misc.py
GPflow,triangular_size,bijectors,gpflow/utilities/bijectors.py
GPflow,uncertain_conditional,uncertain_conditionals,gpflow/conditionals/uncertain_conditionals.py
MusicTransformer-tensorflow2.0,MusicTransformer.__train_step,model,model.py
MusicTransformer-tensorflow2.0,MusicTransformerDecoder.__train_step,model,model.py
MusicTransformer-tensorflow2.0,RelativeGlobalAttention.call,layers,custom/layers.py
MusicTransformer-tensorflow2.0,append_token,utils,utils.py
NLPGNN,ALBERT.call,albert,nlpgnn/models/albert.py
NLPGNN,ALBERT_NER.call,albert_cls_test,tests/CLS/ALBERT/albert_cls_test.py
NLPGNN,ALBERT_NER.call,albert_cls_train,tests/CLS/ALBERT/albert_cls_train.py
NLPGNN,ALBERT_NER.call,albert_ner_test,tests/NER/NER_EN/albert_ner_test.py
NLPGNN,ALBERT_NER.call,albert_ner_train,tests/NER/NER_EN/albert_ner_train.py
NLPGNN,ALBERT_NER.predict,albert_cls_test,tests/CLS/ALBERT/albert_cls_test.py
NLPGNN,ALBERT_NER.predict,albert_ner_test,tests/NER/NER_EN/albert_ner_test.py
NLPGNN,BERT.call,bert,nlpgnn/models/bert.py
NLPGNN,BERT_NER.call,bert_classification_test,tests/CLS/BERT/bert_classification_test.py
NLPGNN,BERT_NER.call,bert_classification_train,tests/CLS/BERT/bert_classification_train.py
NLPGNN,BERT_NER.call,bert_ner_crf_test,tests/NER/NER_ZH/bert_ner_crf_test.py
NLPGNN,BERT_NER.call,bert_ner_crf_train,tests/NER/NER_ZH/bert_ner_crf_train.py
NLPGNN,BERT_NER.call,bert_ner_test,tests/NER/NER_EN/bert_ner_test.py
NLPGNN,BERT_NER.call,bert_ner_test,tests/NER/NER_ZH/bert_ner_test.py
NLPGNN,BERT_NER.call,bert_ner_train,tests/NER/NER_EN/bert_ner_train.py
NLPGNN,BERT_NER.call,bert_ner_train,tests/NER/NER_ZH/bert_ner_train.py
NLPGNN,BERT_NER.predict,bert_classification_test,tests/CLS/BERT/bert_classification_test.py
NLPGNN,BERT_NER.predict,bert_ner_crf_test,tests/NER/NER_ZH/bert_ner_crf_test.py
NLPGNN,BERT_NER.predict,bert_ner_test,tests/NER/NER_EN/bert_ner_test.py
NLPGNN,BERT_NER.predict,bert_ner_test,tests/NER/NER_ZH/bert_ner_test.py
NLPGNN,GenGPT2.call,generation,tests/TG/EN/generation.py
NLPGNN,GenGPT2.call,interactive,tests/TG/EN/interactive.py
NLPGNN,GreedyDecoder.__call__,decoder,nlpgnn/layers/decoder.py
NLPGNN,MLP.call,GIN,nlpgnn/models/GIN.py
NLPGNN,RGCNLayer.call,RGCN,nlpgnn/models/RGCN.py
NLPGNN,TuckERLoader.target_convert,graphloader,nlpgnn/datas/graphloader.py
NLPGNN,assert_rank,tools,nlpgnn/tools.py
NLPGNN,batch_read_out,utils,nlpgnn/gnn/utils.py
NLPGNN,get_shape_list,tools,nlpgnn/tools.py
NLPGNN,top_p_logits,samples,nlpgnn/sample/samples.py
ResNet50,ApplyPcaAndWhitening,feature_extractor,delf/python/feature_extractor.py
ResNet50,Delf.call,delf_model,delf/python/training/model/delf_model.py
ResNet50,DelfTest.test_train_step,delf_model_test,delf/python/training/model/delf_model_test.py
ResNet50,ExtractAggregatedRepresentation._ComputeAsmk,feature_aggregation_extractor,delf/python/feature_aggregation_extractor.py
ResNet50,ExtractAggregatedRepresentation._ComputeVlad,feature_aggregation_extractor,delf/python/feature_aggregation_extractor.py
ResNet50,ExtractGlobalFeatures,export_model_utils,delf/python/training/model/export_model_utils.py
ResNet50,ExtractLocalAndGlobalFeatures,export_model_utils,delf/python/training/model/export_model_utils.py
ResNet50,L2Normalization.call,normalization,delf/python/normalization_layers/normalization.py
ResNet50,NormalizePixelValues,feature_extractor,delf/python/feature_extractor.py
ResNet50,ResNet50.call,resnet50,delf/python/training/model/resnet50.py
ResNet50,_ConvBlock.call,resnet50,delf/python/training/model/resnet50.py
ResNet50,_ExtractModule.ExtractFeatures,export_CNN_global,delf/python/training/model/export_CNN_global.py
ResNet50,_ExtractModule.ExtractFeatures,export_global_model,delf/python/training/model/export_global_model.py
ResNet50,_ExtractModule.ExtractFeatures,export_local_and_global_model,delf/python/training/model/export_local_and_global_model.py
ResNet50,_ExtractModule.ExtractFeatures,export_local_model,delf/python/training/model/export_local_model.py
ResNet50,_ExtractModule.ExtractFeaturesFixedScales,export_CNN_global,delf/python/training/model/export_CNN_global.py
ResNet50,_ExtractModule.ExtractFeaturesFixedScales,export_global_model,delf/python/training/model/export_global_model.py
ResNet50,_ExtractModule.__init__,export_CNN_global,delf/python/training/model/export_CNN_global.py
ResNet50,_ExtractModule.__init__,export_global_model,delf/python/training/model/export_global_model.py
ResNet50,_IdentityBlock.call,resnet50,delf/python/training/model/resnet50.py
ResNet50,_compute_loss_and_gradient,train_utils,delf/python/training/global_features/train_utils.py
ResNet50,contrastive_loss,ranking_losses,delf/python/training/losses/ranking_losses.py
ResNet50,distributed_train_step,train,delf/python/training/train.py
ResNet50,distributed_validation_step,train,delf/python/training/train.py
ResNet50,extract_multi_scale_descriptor,global_model,delf/python/training/model/global_model.py
ResNet50,gem,pooling,delf/python/pooling_layers/pooling.py
ResNet50,train_step,train,delf/python/training/train.py
ResNet50,triplet_loss,ranking_losses,delf/python/training/losses/ranking_losses.py
TensorFlow-Examples,ConvNet.call,multigpu_training,tensorflow_v2/notebooks/6_Hardware/multigpu_training.py
TensorFlow-Examples,accuracy,multigpu_training,tensorflow_v2/notebooks/6_Hardware/multigpu_training.py
TensorFlow-Examples,backprop,multigpu_training,tensorflow_v2/notebooks/6_Hardware/multigpu_training.py
TensorFlow-Examples,cross_entropy_loss,multigpu_training,tensorflow_v2/notebooks/6_Hardware/multigpu_training.py
TensorFlow-Examples,neural_net,tensorboard_example,tensorflow_v2/notebooks/4_Utils/tensorboard_example.py
TensorFlow2.0-Examples,BasicBlock.call,fpn,3-Neural_Network_Architecture/fpn.py
TensorFlow2.0-Examples,BasicBlock.call,resnet,3-Neural_Network_Architecture/resnet.py
TensorFlow2.0-Examples,Bottleneck.call,resnet,3-Neural_Network_Architecture/resnet.py
TensorFlow2.0-Examples,SSD.call,ssd,4-Object_Detection/SSD/ssd.py
TensorFlow2.0-Examples,decode_output,utils,4-Object_Detection/RPN/utils.py
TensorFlow2.0-Examples,distributed_train_step,multi_gpu_train,7-Utils/multi_gpu_train.py
TensorFlow2.0-Examples,f,GradientTape,1-Introduction/GradientTape.py
TensorFlow2.0-Examples,grad,GradientTape,1-Introduction/GradientTape.py
TensorFlow2.0-Examples,random_jitter,Pix2Pix,6-Generative_Adversarial_Networks/Pix2Pix.py
TensorFlow2.0-Examples,test_step,CNN,2-Basical_Models/CNN.py
TensorFlow2.0-Examples,test_step,main,3-Neural_Network_Architecture/main.py
TensorFlow2.0-Examples,train_step,CNN,2-Basical_Models/CNN.py
TensorFlow2.0-Examples,train_step,Pix2Pix,6-Generative_Adversarial_Networks/Pix2Pix.py
TensorFlow2.0-Examples,train_step,dcgan,6-Generative_Adversarial_Networks/dcgan.py
TensorFlow2.0-Examples,train_step,main,3-Neural_Network_Architecture/main.py
TensorflowASR,AudioClassifier.call,models,leaf_audio/models.py
TensorflowASR,BaseTrainer._train_step,base_runners,asr/trainer/base_runners.py
TensorflowASR,BaseTrainer._train_step,base_trainer,vad/trainer/base_trainer.py
TensorflowASR,BaseTrainer._train_step,base_trainers,punc_recover/trainer/base_trainers.py
TensorflowASR,CNN_Offline_VAD.call,vad_model,Inference/PythonInference/vad/src/models/vad_model.py
TensorflowASR,CNN_Offline_VAD.call,vad_model,vad/models/vad_model.py
TensorflowASR,CNN_Offline_VAD.infrence,vad_model,Inference/PythonInference/vad/src/models/vad_model.py
TensorflowASR,CNN_Offline_VAD.set_inference_func.infrence,vad_model,vad/models/vad_model.py
TensorflowASR,CNN_Online_VAD.call,vad_model,Inference/PythonInference/vad/src/models/vad_model.py
TensorflowASR,CNN_Online_VAD.call,vad_model,vad/models/vad_model.py
TensorflowASR,CNN_Online_VAD.inference,vad_model,Inference/PythonInference/vad/src/models/vad_model.py
TensorflowASR,CNN_Online_VAD.set_inferenc_func.inference,vad_model,vad/models/vad_model.py
TensorflowASR,CTCDecoder.set_inference_func.inference,conformer_blocks,asr/models/conformer_blocks.py
TensorflowASR,CTCTrainer._eval_step,ctc_runners,asr/trainer/ctc_runners.py
TensorflowASR,CTCTrainer._train_step,ctc_runners,asr/trainer/ctc_runners.py
TensorflowASR,ChunkConformer.test_step,chunk_conformer_blocks,asr/models/chunk_conformer_blocks.py
TensorflowASR,ChunkConformer.train_step,chunk_conformer_blocks,asr/models/chunk_conformer_blocks.py
TensorflowASR,ConformerEncoder.set_inference_func.inference,conformer_blocks,asr/models/conformer_blocks.py
TensorflowASR,Discriminator.call,wav_model,asr/models/wav_model.py
TensorflowASR,ErrorRate.update_state,metrics,utils/metrics.py
TensorflowASR,ExponentialMovingAverage.__init__,postprocessing,leaf_audio/postprocessing.py
TensorflowASR,ExponentialMovingAverage.call,postprocessing,leaf_audio/postprocessing.py
TensorflowASR,Leaf.call,frontend,leaf_audio/frontend.py
TensorflowASR,MelFilterbanks.call,frontend,leaf_audio/frontend.py
TensorflowASR,PuncTrainer._eval_step,punc_trainer,punc_recover/trainer/punc_trainer.py
TensorflowASR,PuncTrainer._train_step,punc_trainer,punc_recover/trainer/punc_trainer.py
TensorflowASR,PuncTransformer.inference,punc_transformer,punc_recover/models/punc_transformer.py
TensorflowASR,StreamingConformerEncoder.call,conformer_blocks,asr/models/conformer_blocks.py
TensorflowASR,StreamingConformerEncoder.set_inference_func.inference,conformer_blocks,asr/models/conformer_blocks.py
TensorflowASR,Translator.set_inference_func.inference,conformer_blocks,asr/models/conformer_blocks.py
TensorflowASR,VADTrainer._eval_step,vad_trainer,vad/trainer/vad_trainer.py
TensorflowASR,VADTrainer._train_step,vad_trainer,vad/trainer/vad_trainer.py
TensorflowASR,WaveGram.call,models,leaf_audio/models.py
TensorflowASR,amplitude,impulse_responses,leaf_audio/impulse_responses.py
TensorflowASR,gabor_impulse_response,impulse_responses,leaf_audio/impulse_responses.py
TensorflowASR,gaussian_lowpass,impulse_responses,leaf_audio/impulse_responses.py
TensorflowASR,log_compression,frontend,leaf_audio/frontend.py
TensorflowASR,overlap_add_conv1d,convolution,leaf_audio/convolution.py
TensorflowASR,print_string,tools,utils/tools.py
TensorflowASR,rnnt_loss,rnnt_losses,asr/losses/rnnt_losses.py
TensorflowASR,sinc_filters,impulse_responses,leaf_audio/impulse_responses.py
TensorflowASR,sinc_impulse_response,impulse_responses,leaf_audio/impulse_responses.py
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chatbot,training_step,seq2seqModel,Chatbot_pytorch/Distribute_seq2seqchatbot/seq2seqModel.py
deep_recommenders,BruteForce.call,factorized_top_k,deep_recommenders/keras/models/retrieval/factorized_top_k.py
deep_recommenders,BruteForce.index,factorized_top_k,deep_recommenders/keras/models/retrieval/factorized_top_k.py
deep_recommenders,DeepFM.call,deepfm,deep_recommenders/keras/models/ranking/deepfm.py
deep_recommenders,FactorizationMachine.call,fm,deep_recommenders/keras/models/ranking/fm.py
deep_recommenders,Faiss.index,factorized_top_k,deep_recommenders/keras/models/retrieval/factorized_top_k.py
deep_recommenders,Retrieval.call,sbcnm,deep_recommenders/keras/models/retrieval/sbcnm.py
deep_recommenders,SamplingProbabilityCorrection.call,sbcnm,deep_recommenders/keras/models/retrieval/sbcnm.py
deep_recommenders,Streaming.call.enumerate_rows,factorized_top_k,deep_recommenders/keras/models/retrieval/factorized_top_k.py
deep_recommenders,Streaming.call.top_k,factorized_top_k,deep_recommenders/keras/models/retrieval/factorized_top_k.py
deep_recommenders,Streaming.call.top_scores,factorized_top_k,deep_recommenders/keras/models/retrieval/factorized_top_k.py
deep_recommenders,TopK.call,factorized_top_k,deep_recommenders/keras/models/retrieval/factorized_top_k.py
deep_recommenders,TopK.index,factorized_top_k,deep_recommenders/keras/models/retrieval/factorized_top_k.py
deep_recommenders,TopK.query_with_exclusions,factorized_top_k,deep_recommenders/keras/models/retrieval/factorized_top_k.py
deep_recommenders,_exclude,factorized_top_k,deep_recommenders/keras/models/retrieval/factorized_top_k.py
eth-nlu-neural-language-model-2019,_perplexity,perplexity,code/perplexity.py
eth-nlu-neural-language-model-2019,_result,perplexity,code/perplexity.py
eth-nlu-neural-language-model-2019,log2,perplexity,code/perplexity.py
eth-nlu-neural-language-model-2019,perp,perplexity,code/perplexity.py
eth-nlu-neural-language-model-2019,train_step,training,code/training.py
eth-nlu-neural-language-model-2019,validate_step,evaluation,code/evaluation.py
gpt-2-tensorflow2.0,Gpt2.distributed_test_step,gpt2_model,gpt2_model.py
gpt-2-tensorflow2.0,Gpt2.distributed_train_step,gpt2_model,gpt2_model.py
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lczero-training,TFProcess.construct_net,tfprocess,tf/tfprocess.py
lczero-training,TFProcess.conv_block,tfprocess,tf/tfprocess.py
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mead-baseline,AttentionReduction.call,layers,layers/eight_mile/tf/layers.py
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nobrainer,GANTrainer.train_step,training,nobrainer/training.py
nobrainer,Generator.call,progressivegan,nobrainer/models/progressivegan.py
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nobrainer,down_stage,bayesian_vnet,nobrainer/models/bayesian_vnet.py
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nobrainer,down_stage,vnet,nobrainer/models/vnet.py
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nobrainer,get_affine,transform,nobrainer/transform.py
nobrainer,inception_block,attention_unet_with_inception,nobrainer/models/attention_unet_with_inception.py
nobrainer,meshnet.one_layer,meshnet,nobrainer/models/meshnet.py
nobrainer,parse_example_fn.parse_example,tfrecord,nobrainer/tfrecord.py
nobrainer,variational_meshnet.one_layer,bayesian_meshnet,nobrainer/models/bayesian_meshnet.py
samples,MyModel.call,trial02,tensorflow_weight_sharing/trial02.py
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samples,my_conv2d,trial03,tensorflow_weight_sharing/trial03.py
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samples,test_step,tensorflow_eager_execution,tensorflow_eager_execution/tensorflow_eager_execution.py
samples,train,tensorflow_gan_tutorial,tensorflow_gan_tutorial/tensorflow_gan_tutorial.py
samples,train_step,tensorflow_eager_execution,tensorflow_eager_execution/tensorflow_eager_execution.py
samples,train_step,tensorflow_gan_tutorial,tensorflow_gan_tutorial/tensorflow_gan_tutorial.py
samples,train_step_generator.train_step,tensorflow_tffunction_workaround,tensorflow_tffunction_workaround/tensorflow_tffunction_workaround.py
tensorflow-yolov4-tflite,filter_boxes,yolov4,core/yolov4.py
tensorflow-yolov4-tflite,main.run_model,benchmarks,benchmarks.py
tf-eager-fasterrcnn,delta2bbox,transforms,detection/core/bbox/transforms.py