diff --git a/synthetic_data/mia_cli.py b/mia_cli.py
similarity index 88%
rename from synthetic_data/mia_cli.py
rename to mia_cli.py
index 6d1775c..99f14c6 100644
--- a/synthetic_data/mia_cli.py
+++ b/mia_cli.py
@@ -9,22 +9,22 @@
 from numpy import arange
 from numpy.random import choice
 
-from .utils.datagen import load_local_data_as_df
-from .utils.utils import json_numpy_serialzer
-from .utils.evaluation_framework import (
+from synthetic_data.utils.datagen import load_local_data_as_df
+from synthetic_data.utils.utils import json_numpy_serialzer
+from synthetic_data.utils.evaluation_framework import (
     craft_outlier,
     evaluate_mia,
 )
 
-from .feature_sets.independent_histograms import HistogramFeatureSet
-from .feature_sets.model_agnostic import NaiveFeatureSet, EnsembleFeatureSet
-from .feature_sets.bayes import CorrelationsFeatureSet
+from synthetic_data.feature_sets.independent_histograms import HistogramFeatureSet
+from synthetic_data.feature_sets.model_agnostic import NaiveFeatureSet, EnsembleFeatureSet
+from synthetic_data.feature_sets.bayes import CorrelationsFeatureSet
 
-from .generative_models.ctgan import CTGAN
-from .generative_models.data_synthesiser import IndependentHistogram, BayesianNet, PrivBayes
-from .generative_models.pate_gan import PateGan
+from synthetic_data.generative_models.ctgan import CTGAN
+from synthetic_data.generative_models.data_synthesiser import IndependentHistogram, BayesianNet, PrivBayes
+from synthetic_data.generative_models.pate_gan import PateGan
 
-from .privacy_attacks.membership_inference import (
+from synthetic_data.privacy_attacks.membership_inference import (
     LABEL_IN,
     LABEL_OUT,
     MIAttackClassifier,
diff --git a/synthetic_data/mleai_cli.py b/mleai_cli.py
similarity index 90%
rename from synthetic_data/mleai_cli.py
rename to mleai_cli.py
index 7763bb2..c7fdfc2 100644
--- a/synthetic_data/mleai_cli.py
+++ b/mleai_cli.py
@@ -10,17 +10,17 @@
 from numpy import arange
 from numpy.random import choice
 
-from .utils.utils import json_numpy_serialzer
-from .utils.datagen import load_local_data_as_df
-from .utils.evaluation_framework import (
+from synthetic_data.utils.utils import json_numpy_serialzer
+from synthetic_data.utils.datagen import load_local_data_as_df
+from synthetic_data.utils.evaluation_framework import (
     craft_outlier,
     evaluate_ai,
 )
-from .utils import evaluation_framework
+from synthetic_data.utils import evaluation_framework
 
-from .generative_models.ctgan import CTGAN
-from .generative_models.data_synthesiser import IndependentHistogram, BayesianNet, PrivBayes
-from .generative_models.pate_gan import PateGan
+from synthetic_data.generative_models.ctgan import CTGAN
+from synthetic_data.generative_models.data_synthesiser import IndependentHistogram, BayesianNet, PrivBayes
+from synthetic_data.generative_models.pate_gan import PateGan
 
 from warnings import filterwarnings
 filterwarnings('ignore')