subject,function,module,relative path
GPflow,MDN.maximum_log_likelihood_objective,mixture_density_network,notebooks/tailor/mixture_density_network.pct.py
GPflow,MomentMatchingSVGP.uncertain_predict_f_moment_matching,test_uncertain_conditional,tests/gpflow/conditionals/test_uncertain_conditional.py
GPflow,MomentMatchingSVGP.uncertain_predict_f_monte_carlo,test_uncertain_conditional,tests/gpflow/conditionals/test_uncertain_conditional.py
GPflow,NaturalGradient._natgrad_apply_gradients,natgrad,gpflow/optimizers/natgrad.py
GPflow,Scipy.pack_tensors,scipy,gpflow/optimizers/scipy.py
GPflow,VGPPosterior.__init__,posteriors,gpflow/posteriors.py
GPflow,assert_constant,test_function_params,tests/gpflow/likelihoods/test_function_params.py
GPflow,assert_gpr_vs_vgp.minimize_step,test_natural_gradient,tests/gpflow/optimizers/test_natural_gradient.py
GPflow,diff,test_function_params,tests/gpflow/likelihoods/test_function_params.py
GPflow,get_likelihood,test_likelihoods,tests/gpflow/likelihoods/test_likelihoods.py
GPflow,loss_with_changed_parameter,cglb,doc/sphinx/notebooks/theory/cglb.pct.py
GPflow,loss_with_changed_parameter,cglb,notebooks/theory/cglb.pct.py
GPflow,optimisation_step,heteroskedastic,doc/sphinx/notebooks/advanced/heteroskedastic.pct.py
GPflow,optimisation_step,heteroskedastic,notebooks/advanced/heteroskedastic.pct.py
GPflow,optimization_step,gp_nn,doc/sphinx/notebooks/tailor/gp_nn.pct.py
GPflow,optimization_step,gp_nn,notebooks/tailor/gp_nn.pct.py
GPflow,run_adam.optimization_step,gps_for_big_data,doc/sphinx/notebooks/advanced/gps_for_big_data.pct.py
GPflow,run_adam.optimization_step,gps_for_big_data,notebooks/advanced/gps_for_big_data.pct.py
GPflow,run_chain_fn,mcmc,doc/sphinx/notebooks/advanced/mcmc.pct.py
GPflow,run_chain_fn,mcmc,notebooks/advanced/mcmc.pct.py
GPflow,run_chain_fn_unconstrained,mcmc,doc/sphinx/notebooks/advanced/mcmc.pct.py
GPflow,run_chain_fn_unconstrained,mcmc,notebooks/advanced/mcmc.pct.py
GPflow,test_base_conditional_vs_ref.numpy_conditional,test_conditionals,tests/gpflow/conditionals/test_conditionals.py
GPflow,test_cglb_quad_term_guarantees.inv_quad_term,test_cglb,tests/gpflow/models/test_cglb.py
GPflow,test_check_shapes__tensorflow__keras.SubLayer.call,test_integration,tests/gpflow/experimental/check_shapes/test_integration.py
GPflow,test_check_shapes__tensorflow__keras.SuperLayer.call,test_integration,tests/gpflow/experimental/check_shapes/test_integration.py
GPflow,test_conditional_broadcasting.sample_conditional_fn,test_broadcasted_conditionals,tests/gpflow/conditionals/test_broadcasted_conditionals.py
GPflow,test_cov_shape_inference,test_expectations,tests/gpflow/expectations/test_expectations.py
GPflow,test_diag,test_conditionals,tests/gpflow/conditionals/test_conditionals.py
GPflow,test_gaussian_whiten,test_conditionals,tests/gpflow/conditionals/test_conditionals.py
GPflow,test_independent_interdomain_conditional_bug_regression.compute_Kmn,test_multioutput,tests/gpflow/conditionals/test_multioutput.py
GPflow,test_inducing_points_with_variable_shape.optimization_step,test_inducing_variables,tests/gpflow/test_inducing_variables.py
GPflow,test_leading_transpose_with_tf_function_wrapper.compiled_wrapper,test_util,tests/gpflow/conditionals/test_util.py
GPflow,test_mcmc_sampler_integration.run_chain_fn,test_mcmc,tests/gpflow/optimizers/test_mcmc.py
GPflow,test_mixed_shared_shape,test_multioutput,tests/gpflow/covariances/test_multioutput.py
GPflow,test_native_to_default_dtype,test_config,tests/gpflow/config/test_config.py
GPflow,test_ndiagquad_does_not_throw_error.func_ndiagquad_autograph_false,test_quadrature,tests/gpflow/quadrature/test_quadrature.py
GPflow,test_q_sqrt_constraints,test_conditionals,tests/gpflow/conditionals/test_conditionals.py
GPflow,test_quadrature_autograph.compute.func,test_quadrature,tests/gpflow/quadrature/test_quadrature.py
GPflow,test_shape,test_inducing_variables,tests/gpflow/test_inducing_variables.py
GPflow,test_small_q_sqrt_handeled_correctly,test_natural_gradient,tests/gpflow/optimizers/test_natural_gradient.py
GPflow,test_vgp.model_closure,test_dynamic_shapes,tests/integration/test_dynamic_shapes.py
GPflow,test_vgp_multiclass.model_closure,test_dynamic_shapes,tests/integration/test_dynamic_shapes.py
GPflow,test_whiten,test_conditionals,tests/gpflow/conditionals/test_conditionals.py
MusicTransformer-tensorflow2.0,MusicTransformer.__dist_train_step,model,model.py
MusicTransformer-tensorflow2.0,MusicTransformer.call,model,model.py
MusicTransformer-tensorflow2.0,MusicTransformerDecoder.__dist_train_step,model,model.py
MusicTransformer-tensorflow2.0,MusicTransformerDecoder.call,model,model.py
MusicTransformer-tensorflow2.0,RelativeGlobalAttention._qe_masking,layers,custom/layers.py
MusicTransformer-tensorflow2.0,RelativeGlobalAttention._skewing,layers,custom/layers.py
MusicTransformer-tensorflow2.0,TransformerLoss.call,callback,custom/callback.py
NLPGNN,BiLSTM.call,bilstm,nlpgnn/layers/bilstm.py
NLPGNN,BilstmAttention.call,bilstm_attention_test,tests/CLS/BilstmAttention/bilstm_attention_test.py
NLPGNN,BilstmAttention.call,bilstm_attention_train,tests/CLS/BilstmAttention/bilstm_attention_train.py
NLPGNN,BilstmAttention.predict,bilstm_attention_test,tests/CLS/BilstmAttention/bilstm_attention_test.py
NLPGNN,CrfLogLikelihood.call,crf,nlpgnn/metrics/crf.py
NLPGNN,CrfLogLikelihood.crf_decode,crf,nlpgnn/metrics/crf.py
NLPGNN,GAAE.call,GAAE,tests/GNN/auto_encoder/GAAE.py
NLPGNN,GAAE.predict,GAAE,tests/GNN/auto_encoder/GAAE.py
NLPGNN,GAAELayer.call,GAAE,nlpgnn/models/GAAE.py
NLPGNN,GAAELayer.decoder,GAAE,nlpgnn/models/GAAE.py
NLPGNN,GAAELayer.encoder,GAAE,nlpgnn/models/GAAE.py
NLPGNN,GATLayer.call,GAT,nlpgnn/models/GAT.py
NLPGNN,GATLayer.predict,GAT,nlpgnn/models/GAT.py
NLPGNN,GCNLayer.call,GCN,nlpgnn/models/GCN.py
NLPGNN,GCNLayer.predict,GCN,nlpgnn/models/GCN.py
NLPGNN,GINLayer.call,GIN,nlpgnn/models/GIN.py
NLPGNN,GINLayer.predict,GIN,nlpgnn/models/GIN.py
NLPGNN,GenGPT2.predict,generation,tests/TG/EN/generation.py
NLPGNN,GenGPT2.predict,interactive,tests/TG/EN/interactive.py
NLPGNN,GraphSAGE.call,GraphSage,nlpgnn/models/GraphSage.py
NLPGNN,GraphSAGE.predict,GraphSage,nlpgnn/models/GraphSage.py
NLPGNN,LayerNorm.call,normalization,nlpgnn/layers/normalization.py
NLPGNN,MaskSparseCategoricalCrossentropy.__call__,Losess,nlpgnn/metrics/Losess.py
NLPGNN,SparseAccuracy.__call__,Metric,nlpgnn/metrics/Metric.py
NLPGNN,SparseF1Score.__call__,Metric,nlpgnn/metrics/Metric.py
NLPGNN,SparsePrecisionScore.__call__,Metric,nlpgnn/metrics/Metric.py
NLPGNN,SparseRecallScore.__call__,Metric,nlpgnn/metrics/Metric.py
NLPGNN,TextCNN.call,TextCNN,nlpgnn/models/TextCNN.py
NLPGNN,TextCNN.predict,TextCNN,nlpgnn/models/TextCNN.py
NLPGNN,TextGCN2019.call,TextGCN2019,nlpgnn/models/TextGCN2019.py
NLPGNN,TextGCNDynamicWeight.call,text_gcn,tests/GNN/gnn_for_nlp/text_gcn.py
NLPGNN,TextGCNDynamicWeight.predict,text_gcn,tests/GNN/gnn_for_nlp/text_gcn.py
NLPGNN,TextSAGEynamicWeight.call,text_sage,tests/GNN/gnn_for_nlp/text_sage.py
NLPGNN,TextSAGEynamicWeight.predict,text_sage,tests/GNN/gnn_for_nlp/text_sage.py
NLPGNN,TuckER.call,tucker,nlpgnn/models/tucker.py
NLPGNN,TuckER.predict,tucker,nlpgnn/models/tucker.py
NLPGNN,create_attention_mask_from_input_mask,tools,nlpgnn/tools.py
NLPGNN,crf_binary_score,crf,nlpgnn/metrics/crf.py
NLPGNN,crf_decode_forward,crf,nlpgnn/metrics/crf.py
NLPGNN,crf_forward,crf,nlpgnn/metrics/crf.py
NLPGNN,crf_log_norm,crf,nlpgnn/metrics/crf.py
NLPGNN,crf_sequence_score,crf,nlpgnn/metrics/crf.py
NLPGNN,crf_unary_score,crf,nlpgnn/metrics/crf.py
NLPGNN,sample_sequence.step,samples,nlpgnn/sample/samples.py
ResNet50,AttentionModel.call,delf_model,delf/python/training/model/delf_model.py
ResNet50,AutoencoderModel.call,delf_model,delf/python/training/model/delf_model.py
ResNet50,Delf.global_and_local_forward_pass,delf_model,delf/python/training/model/delf_model.py
ResNet50,DelfFeaturePostProcessing,feature_extractor,delf/python/feature_extractor.py
ResNet50,DelfTest.test_train_step.compute_loss,delf_model_test,delf/python/training/model/delf_model_test.py
ResNet50,DelgTest.test_train_step,delg_model_test,delf/python/training/model/delg_model_test.py
ResNet50,DelgTest.test_train_step.compute_loss,delg_model_test,delf/python/training/model/delg_model_test.py
ResNet50,ExtractAggregatedRepresentation._ComputeRasmk,feature_aggregation_extractor,delf/python/feature_aggregation_extractor.py
ResNet50,ExtractAggregatedRepresentation._ComputeRvlad,feature_aggregation_extractor,delf/python/feature_aggregation_extractor.py
ResNet50,ExtractAggregatedRepresentation._PerCentroidNormalization,feature_aggregation_extractor,delf/python/feature_aggregation_extractor.py
ResNet50,GeMPooling2D.call,pooling,delf/python/pooling_layers/pooling.py
ResNet50,GlobalFeatureNet.call,global_model,delf/python/training/model/global_model.py
ResNet50,PostProcessDescriptors,feature_extractor,delf/python/feature_extractor.py
ResNet50,mac,pooling,delf/python/pooling_layers/pooling.py
ResNet50,spoc,pooling,delf/python/pooling_layers/pooling.py
TensorFlow-Examples,BiRNN.call,bidirectional_rnn,tensorflow_v2/notebooks/3_NeuralNetworks/bidirectional_rnn.py
TensorFlow-Examples,ConvNet.call,convolutional_network,tensorflow_v2/notebooks/3_NeuralNetworks/convolutional_network.py
TensorFlow-Examples,CustomLayer1.call,build_custom_layers,tensorflow_v2/notebooks/4_Utils/build_custom_layers.py
TensorFlow-Examples,CustomNet.__call__,build_custom_layers,tensorflow_v2/notebooks/4_Utils/build_custom_layers.py
TensorFlow-Examples,Discriminator.call,dcgan,tensorflow_v2/notebooks/3_NeuralNetworks/dcgan.py
TensorFlow-Examples,Generator.call,dcgan,tensorflow_v2/notebooks/3_NeuralNetworks/dcgan.py
TensorFlow-Examples,LSTM.call,dynamic_rnn,tensorflow_v2/notebooks/3_NeuralNetworks/dynamic_rnn.py
TensorFlow-Examples,LSTM.call,recurrent_network,tensorflow_v2/notebooks/3_NeuralNetworks/recurrent_network.py
TensorFlow-Examples,NeuralNet.__call__,save_restore_model,tensorflow_v2/notebooks/4_Utils/save_restore_model.py
TensorFlow-Examples,NeuralNet.call,neural_network,tensorflow_v2/notebooks/3_NeuralNetworks/neural_network.py
TensorFlow-Examples,accuracy,bidirectional_rnn,tensorflow_v2/notebooks/3_NeuralNetworks/bidirectional_rnn.py
TensorFlow-Examples,accuracy,build_custom_layers,tensorflow_v2/notebooks/4_Utils/build_custom_layers.py
TensorFlow-Examples,accuracy,convolutional_network,tensorflow_v2/notebooks/3_NeuralNetworks/convolutional_network.py
TensorFlow-Examples,accuracy,dynamic_rnn,tensorflow_v2/notebooks/3_NeuralNetworks/dynamic_rnn.py
TensorFlow-Examples,accuracy,logistic_regression,tensorflow_v2/notebooks/2_BasicModels/logistic_regression.py
TensorFlow-Examples,accuracy,neural_network,tensorflow_v2/notebooks/3_NeuralNetworks/neural_network.py
TensorFlow-Examples,accuracy,recurrent_network,tensorflow_v2/notebooks/3_NeuralNetworks/recurrent_network.py
TensorFlow-Examples,accuracy,save_restore_model,tensorflow_v2/notebooks/4_Utils/save_restore_model.py
TensorFlow-Examples,accuracy,tensorboard_example,tensorflow_v2/notebooks/4_Utils/tensorboard_example.py
TensorFlow-Examples,average_gradients,multigpu_training,tensorflow_v2/notebooks/6_Hardware/multigpu_training.py
TensorFlow-Examples,cross_entropy,build_custom_layers,tensorflow_v2/notebooks/4_Utils/build_custom_layers.py
TensorFlow-Examples,cross_entropy,logistic_regression,tensorflow_v2/notebooks/2_BasicModels/logistic_regression.py
TensorFlow-Examples,cross_entropy,save_restore_model,tensorflow_v2/notebooks/4_Utils/save_restore_model.py
TensorFlow-Examples,cross_entropy,tensorboard_example,tensorflow_v2/notebooks/4_Utils/tensorboard_example.py
TensorFlow-Examples,cross_entropy_loss,bidirectional_rnn,tensorflow_v2/notebooks/3_NeuralNetworks/bidirectional_rnn.py
TensorFlow-Examples,cross_entropy_loss,convolutional_network,tensorflow_v2/notebooks/3_NeuralNetworks/convolutional_network.py
TensorFlow-Examples,cross_entropy_loss,dynamic_rnn,tensorflow_v2/notebooks/3_NeuralNetworks/dynamic_rnn.py
TensorFlow-Examples,cross_entropy_loss,neural_network,tensorflow_v2/notebooks/3_NeuralNetworks/neural_network.py
TensorFlow-Examples,cross_entropy_loss,recurrent_network,tensorflow_v2/notebooks/3_NeuralNetworks/recurrent_network.py
TensorFlow-Examples,decoder,autoencoder,tensorflow_v2/notebooks/3_NeuralNetworks/autoencoder.py
TensorFlow-Examples,encoder,autoencoder,tensorflow_v2/notebooks/3_NeuralNetworks/autoencoder.py
TensorFlow-Examples,evaluate,word2vec,tensorflow_v2/notebooks/2_BasicModels/word2vec.py
TensorFlow-Examples,logistic_regression,logistic_regression,tensorflow_v2/notebooks/2_BasicModels/logistic_regression.py
TensorFlow-Examples,logistic_regression,save_restore_model,tensorflow_v2/notebooks/4_Utils/save_restore_model.py
TensorFlow-Examples,mean_square,autoencoder,tensorflow_v2/notebooks/3_NeuralNetworks/autoencoder.py
TensorFlow-Examples,nce_loss,word2vec,tensorflow_v2/notebooks/2_BasicModels/word2vec.py
TensorFlow-Examples,run_optimization,autoencoder,tensorflow_v2/notebooks/3_NeuralNetworks/autoencoder.py
TensorFlow-Examples,run_optimization,bidirectional_rnn,tensorflow_v2/notebooks/3_NeuralNetworks/bidirectional_rnn.py
TensorFlow-Examples,run_optimization,build_custom_layers,tensorflow_v2/notebooks/4_Utils/build_custom_layers.py
TensorFlow-Examples,run_optimization,convolutional_network,tensorflow_v2/notebooks/3_NeuralNetworks/convolutional_network.py
TensorFlow-Examples,run_optimization,dcgan,tensorflow_v2/notebooks/3_NeuralNetworks/dcgan.py
TensorFlow-Examples,run_optimization,dynamic_rnn,tensorflow_v2/notebooks/3_NeuralNetworks/dynamic_rnn.py
TensorFlow-Examples,run_optimization,logistic_regression,tensorflow_v2/notebooks/2_BasicModels/logistic_regression.py
TensorFlow-Examples,run_optimization,multigpu_training,tensorflow_v2/notebooks/6_Hardware/multigpu_training.py
TensorFlow-Examples,run_optimization,neural_network,tensorflow_v2/notebooks/3_NeuralNetworks/neural_network.py
TensorFlow-Examples,run_optimization,recurrent_network,tensorflow_v2/notebooks/3_NeuralNetworks/recurrent_network.py
TensorFlow-Examples,run_optimization,save_restore_model,tensorflow_v2/notebooks/4_Utils/save_restore_model.py
TensorFlow-Examples,run_optimization,tensorboard_example,tensorflow_v2/notebooks/4_Utils/tensorboard_example.py
TensorFlow2.0-Examples,Autoencoder.call,autoencoder,3-Neural_Network_Architecture/autoencoder.py
TensorFlow2.0-Examples,Decoder.call,autoencoder,3-Neural_Network_Architecture/autoencoder.py
TensorFlow2.0-Examples,Encoder.call,autoencoder,3-Neural_Network_Architecture/autoencoder.py
TensorFlow2.0-Examples,FCN8s.call,fcn8s,5-Image_Segmentation/FCN/fcn8s.py
TensorFlow2.0-Examples,FPN.call,fpn,3-Neural_Network_Architecture/fpn.py
TensorFlow2.0-Examples,Model.__call__,Linear_Regression,2-Basical_Models/Linear_Regression.py
TensorFlow2.0-Examples,MyModel.call,CNN,2-Basical_Models/CNN.py
TensorFlow2.0-Examples,ONet.call,mtcnn,4-Object_Detection/MTCNN/mtcnn.py
TensorFlow2.0-Examples,PNet.call,mtcnn,4-Object_Detection/MTCNN/mtcnn.py
TensorFlow2.0-Examples,RNet.call,mtcnn,4-Object_Detection/MTCNN/mtcnn.py
TensorFlow2.0-Examples,RPNplus.call,rpn,4-Object_Detection/RPN/rpn.py
TensorFlow2.0-Examples,ResNet.call,resnet,3-Neural_Network_Architecture/resnet.py
TensorFlow2.0-Examples,YOLOv3,yolov3,4-Object_Detection/YOLOV3/core/yolov3.py
TensorFlow2.0-Examples,accuracy,Multilayer_Perceptron,2-Basical_Models/Multilayer_Perceptron.py
TensorFlow2.0-Examples,compute_loss,train,4-Object_Detection/RPN/train.py
TensorFlow2.0-Examples,cross_entropy,Multilayer_Perceptron,2-Basical_Models/Multilayer_Perceptron.py
TensorFlow2.0-Examples,generator_loss,Pix2Pix,6-Generative_Adversarial_Networks/Pix2Pix.py
TensorFlow2.0-Examples,multilayer_perceptron,Multilayer_Perceptron,2-Basical_Models/Multilayer_Perceptron.py
TensorFlow2.0-Examples,train_step,Multilayer_Perceptron,2-Basical_Models/Multilayer_Perceptron.py
TensorFlow2.0-Examples,train_step,multi_gpu_train,7-Utils/multi_gpu_train.py
TensorFlow2.0-Examples,train_step,train,4-Object_Detection/YOLOV3/train.py
TensorflowASR,CTCDecoder.call,conformer_blocks,asr/models/conformer_blocks.py
TensorflowASR,ChunkCTCDecoder.call,chunk_conformer_blocks,asr/models/chunk_conformer_blocks.py
TensorflowASR,ChunkCTCDecoder.stream_call,chunk_conformer_blocks,asr/models/chunk_conformer_blocks.py
TensorflowASR,ChunkConformer.call,chunk_conformer_blocks,asr/models/chunk_conformer_blocks.py
TensorflowASR,ChunkConformer.decoder_stream_predict,chunk_conformer_blocks,asr/models/chunk_conformer_blocks.py
TensorflowASR,ChunkConformer.picker_stream_predict,chunk_conformer_blocks,asr/models/chunk_conformer_blocks.py
TensorflowASR,ChunkConformerEncoder.call,chunk_conformer_blocks,asr/models/chunk_conformer_blocks.py
TensorflowASR,ChunkConformerEncoder.stream_call,chunk_conformer_blocks,asr/models/chunk_conformer_blocks.py
TensorflowASR,ChunkConformerFront.call,chunk_conformer_blocks,asr/models/chunk_conformer_blocks.py
TensorflowASR,ChunkConformerFront.stream_call,chunk_conformer_blocks,asr/models/chunk_conformer_blocks.py
TensorflowASR,ConformerEncoder.call,conformer_blocks,asr/models/conformer_blocks.py
TensorflowASR,ContextHelper.call,chunk_conformer_blocks,asr/models/chunk_conformer_blocks.py
TensorflowASR,ContextHelper.phone_call,chunk_conformer_blocks,asr/models/chunk_conformer_blocks.py
TensorflowASR,ContextHelper.stream_call,chunk_conformer_blocks,asr/models/chunk_conformer_blocks.py
TensorflowASR,ConvSubsampling.stream_call,chunk_conformer_blocks,asr/models/chunk_conformer_blocks.py
TensorflowASR,Encoder.call,punc_transformer,punc_recover/models/punc_transformer.py
TensorflowASR,Melspectrogram.call,time_frequency,asr/models/layers/time_frequency.py
TensorflowASR,PuncTransformer.call,punc_transformer,punc_recover/models/punc_transformer.py
TensorflowASR,Spectrogram.call,time_frequency,asr/models/layers/time_frequency.py
TensorflowASR,Translator.call,conformer_blocks,asr/models/conformer_blocks.py
TensorflowASR,VAD.inference,vad,Inference/PythonInference/vad/src/vad.py
TensorflowASR,WavePickModel.call,wav_model,asr/models/wav_model.py
TensorflowASR,create_padding_mask,punc_transformer,punc_recover/models/punc_transformer.py
TensorflowASR,fft_conv1d,convolution,leaf_audio/convolution.py
TensorflowASR,upper_power_of_2,convolution,leaf_audio/convolution.py
chatbot,BahdanauAttention.call,seq2seqModel,Chatbot-tensowflow2.0/Distribute_seq2seqchatbot/seq2seqModel.py
chatbot,BahdanauAttention.call,seq2seqModel,Chatbot-tensowflow2.0/Seq2seqchatbot/seq2seqModel.py
chatbot,BahdanauAttention.call,seq2seqModel,Chatbot_pytorch/Distribute_seq2seqchatbot/seq2seqModel.py
chatbot,BahdanauAttention.call,seq2seqModel,Chatbot_pytorch/Seq2seqchatbot/seq2seqModel.py
chatbot,Decoder.call,seq2seqModel,Chatbot-tensowflow2.0/Distribute_seq2seqchatbot/seq2seqModel.py
chatbot,Decoder.call,seq2seqModel,Chatbot-tensowflow2.0/Seq2seqchatbot/seq2seqModel.py
chatbot,Decoder.call,seq2seqModel,Chatbot_pytorch/Distribute_seq2seqchatbot/seq2seqModel.py
chatbot,Decoder.call,seq2seqModel,Chatbot_pytorch/Seq2seqchatbot/seq2seqModel.py
chatbot,Encoder.call,seq2seqModel,Chatbot-tensowflow2.0/Distribute_seq2seqchatbot/seq2seqModel.py
chatbot,Encoder.call,seq2seqModel,Chatbot-tensowflow2.0/Seq2seqchatbot/seq2seqModel.py
chatbot,Encoder.call,seq2seqModel,Chatbot_pytorch/Distribute_seq2seqchatbot/seq2seqModel.py
chatbot,Encoder.call,seq2seqModel,Chatbot_pytorch/Seq2seqchatbot/seq2seqModel.py
chatbot,training_step,seq2seqModel,Chatbot-tensowflow2.0/Seq2seqchatbot/seq2seqModel.py
chatbot,training_step,seq2seqModel,Chatbot_pytorch/Seq2seqchatbot/seq2seqModel.py
deep_recommenders,ActivationUnit.call,din,deep_recommenders/keras/models/ranking/din.py
deep_recommenders,CIN.call,xdeepfm,deep_recommenders/keras/models/ranking/xdeepfm.py
deep_recommenders,Cross.call,dcn,deep_recommenders/keras/models/ranking/dcn.py
deep_recommenders,FM.call,fm,deep_recommenders/keras/models/ranking/fm.py
deep_recommenders,FactorizedTopK.update_state,factorized_top_k,deep_recommenders/keras/models/retrieval/factorized_top_k.py
deep_recommenders,Faiss.__init__.build_searcher,factorized_top_k,deep_recommenders/keras/models/retrieval/factorized_top_k.py
deep_recommenders,Faiss.call,factorized_top_k,deep_recommenders/keras/models/retrieval/factorized_top_k.py
deep_recommenders,GCN.call,gcn,deep_recommenders/keras/models/retrieval/gcn.py
deep_recommenders,HardNegativeMining.call,sbcnm,deep_recommenders/keras/models/retrieval/sbcnm.py
deep_recommenders,RemoveAccidentalNegative.call,sbcnm,deep_recommenders/keras/models/retrieval/sbcnm.py
deep_recommenders,Streaming.call,factorized_top_k,deep_recommenders/keras/models/retrieval/factorized_top_k.py
deep_recommenders,Transformer.call,transformer,deep_recommenders/keras/models/nlp/transformer.py
deep_recommenders,Transformer.decoder,transformer,deep_recommenders/keras/models/nlp/transformer.py
deep_recommenders,Transformer.encoder,transformer,deep_recommenders/keras/models/nlp/transformer.py
deep_recommenders,_gather_elements_along_row,sbcnm,deep_recommenders/keras/models/retrieval/sbcnm.py
deep_recommenders,_take_long_axis,factorized_top_k,deep_recommenders/keras/models/retrieval/factorized_top_k.py
eth-nlu-neural-language-model-2019,LanguageModel.call,model,code/model.py
eth-nlu-neural-language-model-2019,Perplexity.update_state,perplexity,code/perplexity.py
eth-nlu-neural-language-model-2019,format_to_text,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
gpt-2-tensorflow2.0,Gpt2._test_step,gpt2_model,gpt2_model.py
gpt-2-tensorflow2.0,Gpt2._train_step,gpt2_model,gpt2_model.py
gpt-2-tensorflow2.0,Gpt2.call,gpt2_model,gpt2_model.py
gpt-2-tensorflow2.0,Gpt2.get_loss,gpt2_model,gpt2_model.py
gpt-2-tensorflow2.0,top_p_logits,sample,sample.py
lczero-training,Gating.call,tfprocess,tf/tfprocess.py
lczero-training,TFProcess.apply_grads,tfprocess,tf/tfprocess.py
lczero-training,TFProcess.compute_update_ratio,tfprocess,tf/tfprocess.py
lczero-training,TFProcess.create_residual_body,tfprocess,tf/tfprocess.py
lczero-training,TFProcess.encoder_layer,tfprocess,tf/tfprocess.py
lczero-training,TFProcess.init_net._lossMix,tfprocess,tf/tfprocess.py
lczero-training,TFProcess.init_net.correct_policy,tfprocess,tf/tfprocess.py
lczero-training,TFProcess.init_net.moves_left_mean_error_fn,tfprocess,tf/tfprocess.py
lczero-training,TFProcess.init_net.policy_accuracy,tfprocess,tf/tfprocess.py
lczero-training,TFProcess.init_net.policy_entropy,tfprocess,tf/tfprocess.py
lczero-training,TFProcess.init_net.policy_loss,tfprocess,tf/tfprocess.py
lczero-training,TFProcess.init_net.policy_uniform_loss,tfprocess,tf/tfprocess.py
lczero-training,TFProcess.read_weights,tfprocess,tf/tfprocess.py
lczero-training,TFProcess.scaled_dot_product_attention,tfprocess,tf/tfprocess.py
lczero-training,TFProcess.smolgen_weights,tfprocess,tf/tfprocess.py
mead-baseline,EagerOptimizer.update_with_hidden,optz,layers/eight_mile/tf/optz.py
mead-baseline,loss,eager_lm_tf,mead/api_examples/eager_lm_tf.py
mead-baseline,loss_function,pretrain_tag_tf,mead/api_examples/pretrain_tag_tf.py
mead-baseline,loss_function,pretrain_tlm_grad_accum_tf,mead/api_examples/pretrain_tlm_grad_accum_tf.py
mead-baseline,loss_function,pretrain_tlm_tf,mead/api_examples/pretrain_tlm_tf.py
mead-baseline,loss_function,pretrain_transformer_seq2seq_tf,mead/api_examples/pretrain_transformer_seq2seq_tf.py
mead-baseline,main._replicated_test_step,pretrain_tlm_grad_accum_tf,mead/api_examples/pretrain_tlm_grad_accum_tf.py
mead-baseline,main._replicated_test_step,pretrain_tlm_tf,mead/api_examples/pretrain_tlm_tf.py
nlp-journey,BiLSTMCRFNamedEntityRecognition.get_acc_one_step,bilstm_crf,smartnlp/ner/bilstm_crf.py
nlp-journey,MultiHeadAttention.call,attention,smartnlp/custom/layer/attention.py
nlp-journey,MultiHeadAttention.scaled_dot_product_attention,attention,smartnlp/custom/layer/attention.py
nobrainer,Deconv3DBlock.call,unetr,nobrainer/models/unetr.py
nobrainer,GroupNormalization.call,groupnorm,nobrainer/layers/groupnorm.py
nobrainer,PatchEmbedding.call,unetr,nobrainer/models/unetr.py
nobrainer,SingleDeconv3DBlock.call,unetr,nobrainer/models/unetr.py
nobrainer,TransformerEncoder.call,unetr,nobrainer/models/unetr.py
nobrainer,UNETR.call,unetr,nobrainer/models/unetr.py
nobrainer,ZeroPadding3DChannels.call,padding,nobrainer/layers/padding.py
nobrainer,_get_voxels,transform,nobrainer/transform.py
nobrainer,_nearest_neighbor_interpolation,transform,nobrainer/transform.py
nobrainer,_trilinear_interpolation,transform,nobrainer/transform.py
samples,MyConv2D.call,tensorflow_custom_convolution,tensorflow_custom_convolution/tensorflow_custom_convolution.py
samples,MyConvolution2D.call,tensorflow_keras_custom_layer,tensorflow_keras_custom_layer/tensorflow_keras_custom_layer.py
samples,MyModel.call,tensorflow_eager_execution,tensorflow_eager_execution/tensorflow_eager_execution.py
samples,Padding2D.call,my_layers,tensorflow_padding/my_layers.py
samples,my_dense.__call__,tensorflow_tf_module,tensorflow_tf_module/tensorflow_tf_module.py
samples,preprocess_dataset,run,tensorflow_speech_command/run.py
tensorflow-yolov4-tflite,YOLO,yolov4,core/yolov4.py
tensorflow-yolov4-tflite,YOLOv3,yolov4,core/yolov4.py
tensorflow-yolov4-tflite,YOLOv3_tiny,yolov4,core/yolov4.py
tensorflow-yolov4-tflite,YOLOv4,yolov4,core/yolov4.py
tensorflow-yolov4-tflite,YOLOv4_tiny,yolov4,core/yolov4.py
tensorflow-yolov4-tflite,main.test_step,train,train.py
tensorflow-yolov4-tflite,main.train_step,train,train.py
tf-dropblock,DropBlock2D.call,dropblock,nets/dropblock.py
tf-dropblock,DropBlock3D.call,dropblock,nets/dropblock.py
tf-eager-fasterrcnn,AnchorGenerator._generate_valid_flags,anchor_generator,detection/core/anchor/anchor_generator.py
tf-eager-fasterrcnn,AnchorGenerator.generate_pyramid_anchors,anchor_generator,detection/core/anchor/anchor_generator.py
tf-eager-fasterrcnn,AnchorTarget._build_single_target,anchor_target,detection/core/anchor/anchor_target.py
tf-eager-fasterrcnn,AnchorTarget.build_targets,anchor_target,detection/core/anchor/anchor_target.py
tf-eager-fasterrcnn,BBoxHead.__call__,bbox_head,detection/models/bbox_heads/bbox_head.py
tf-eager-fasterrcnn,BBoxHead.get_bboxes,bbox_head,detection/models/bbox_heads/bbox_head.py
tf-eager-fasterrcnn,BBoxHead.loss,bbox_head,detection/models/bbox_heads/bbox_head.py
tf-eager-fasterrcnn,FPN.__call__,fpn,detection/models/necks/fpn.py
tf-eager-fasterrcnn,FasterRCNN.__call__,faster_rcnn,detection/models/detectors/faster_rcnn.py
tf-eager-fasterrcnn,ProposalTarget.build_targets,bbox_target,detection/core/bbox/bbox_target.py
tf-eager-fasterrcnn,PyramidROIAlign.__call__,roi_align,detection/models/roi_extractors/roi_align.py
tf-eager-fasterrcnn,RCNNBBoxLoss.__call__,losses,detection/core/loss/losses.py
tf-eager-fasterrcnn,RCNNClassLoss.__call__,losses,detection/core/loss/losses.py
tf-eager-fasterrcnn,RPNBBoxLoss.__call__,losses,detection/core/loss/losses.py
tf-eager-fasterrcnn,RPNClassLoss.__call__,losses,detection/core/loss/losses.py
tf-eager-fasterrcnn,RPNHead.__call__,rpn_head,detection/models/rpn_heads/rpn_head.py
tf-eager-fasterrcnn,RPNHead._get_proposals_single,rpn_head,detection/models/rpn_heads/rpn_head.py
tf-eager-fasterrcnn,RPNHead.get_proposals,rpn_head,detection/models/rpn_heads/rpn_head.py
tf-eager-fasterrcnn,RPNHead.loss,rpn_head,detection/models/rpn_heads/rpn_head.py
tf-eager-fasterrcnn,ResNet.__call__,resnet,detection/models/backbones/resnet.py
tf-eager-fasterrcnn,SmoothL1Loss.__call__,losses,detection/core/loss/losses.py
tf-eager-fasterrcnn,_Bottleneck.__call__,resnet,detection/models/backbones/resnet.py
tf-eager-fasterrcnn,bbox2delta,transforms,detection/core/bbox/transforms.py
tf-eager-fasterrcnn,bbox_clip,transforms,detection/core/bbox/transforms.py
tf-eager-fasterrcnn,compute_overlaps,geometry,detection/core/bbox/geometry.py
tf-eager-fasterrcnn,distributed_train_step,train_model_multigpu,train_model_multigpu.py
tf-eager-fasterrcnn,train_step,train_model_multigpu,train_model_multigpu.py