Generic model API, Model Zoo in Tensorflow, Keras, Pytorch, Hyperparamter search
Project description
ml_models --do
"testall" : test all modules inside model_tf
"test" : test a certain module inside model_tf
"model_list" : #list all models in the repo
"fit" : wrap fit generic m ethod
"predict" : predict using a pre-trained model and some data
"generate_config" : generate config file from code source
ml_optim --do
"test" : Test the hyperparameter optimization for a specific model
"test_all" : TODO, Test all
"search" : search for the best hyperparameters of a specific model
##### Include models :
mlmodels.model_dev.ml_mosaic.py
mlmodels.model_dev.mytest.py
mlmodels.model_flow.mlflow_run.py
mlmodels.model_gluon.gluon_automl.py
mlmodels.model_gluon.gluon_deepar.py
mlmodels.model_gluon.gluon_ffn.py
mlmodels.model_gluon.gluon_prophet.py
mlmodels.model_keras.00_template.py
mlmodels.model_keras.01_deepctr.py
mlmodels.model_keras.02_cnn.py
mlmodels.model_keras.preprocess.py
mlmodels.model_rank.LambdaRank.py
mlmodels.model_rank.load_mslr.py
mlmodels.model_rank.metrics.py
mlmodels.model_rank.RankNet.py
mlmodels.model_sklearn.model.py
mlmodels.model_tch.cnn_classifier.py
mlmodels.model_tch.mlp.py
mlmodels.model_tch.nbeats.py
mlmodels.model_tch.sentence_transformer.py
mlmodels.model_tch.transformer_classifier.py
mlmodels.model_tf.10_encoder_vanilla.py
mlmodels.model_tf.11_bidirectional_vanilla.py
mlmodels.model_tf.12_vanilla_2path.py
mlmodels.model_tf.13_lstm_seq2seq.py
mlmodels.model_tf.14_lstm_attention.py
mlmodels.model_tf.15_lstm_seq2seq_attention.py
mlmodels.model_tf.16_lstm_seq2seq_bidirectional.py
mlmodels.model_tf.17_lstm_seq2seq_bidirectional_attention.py
mlmodels.model_tf.18_lstm_attention_scaleddot.py
mlmodels.model_tf.19_lstm_dilated.py
mlmodels.model_tf.1_lstm.py
mlmodels.model_tf.20_only_attention.py
mlmodels.model_tf.21_multihead_attention.py
mlmodels.model_tf.22_lstm_bahdanau.py
mlmodels.model_tf.23_lstm_luong.py
mlmodels.model_tf.24_lstm_luong_bahdanau.py
mlmodels.model_tf.25_dnc.py
mlmodels.model_tf.26_lstm_residual.py
mlmodels.model_tf.27_byte_net.py
mlmodels.model_tf.28_attention_is_all_you_need.py
mlmodels.model_tf.29_fairseq.py
mlmodels.model_tf.2_encoder_lstm.py
mlmodels.model_tf.3_bidirectional_lstm.py
mlmodels.model_tf.4_lstm_2path.py
mlmodels.model_tf.50lstm attention.py
mlmodels.model_tf.5_gru.py
mlmodels.model_tf.6_encoder_gru.py
mlmodels.model_tf.7_bidirectional_gru.py
mlmodels.model_tf.8_gru_2path.py
mlmodels.model_tf.9_vanilla.py
mlmodels.model_tf.access.py
mlmodels.model_tf.addressing.py
mlmodels.model_tf.autoencoder.py
mlmodels.model_tf.dnc.py
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