diff --git a/docs/user_guides/primitives_pipelines/primitives/LSTMTimeSeriesRegressor.rst b/docs/user_guides/primitives_pipelines/primitives/LSTMTimeSeriesRegressor.rst
index d5ca166f..f4b167d1 100644
--- a/docs/user_guides/primitives_pipelines/primitives/LSTMTimeSeriesRegressor.rst
+++ b/docs/user_guides/primitives_pipelines/primitives/LSTMTimeSeriesRegressor.rst
@@ -7,7 +7,7 @@ LSTM
 
 **description**: this is a prediction model with double stacked LSTM layers used as a time series regressor. you can read more about it in the `related paper <https://arxiv.org/pdf/1802.04431.pdf>`__.
 
-see `json <https://github.com/MLBazaar/mlstars/blob/master/mlstars/primitives/keras.Sequential.LSTMTimeSeriesRegressor.json>`__.
+see `json <https://github.com/sintel-dev/ml-stars/blob/master/mlstars/primitives/keras.Sequential.LSTMTimeSeriesRegressor.json>`__.
 
 ====================== =================== ===========================================================================================================================================
 argument                type                description  
diff --git a/docs/user_guides/primitives_pipelines/primitives/MinMaxScaler.rst b/docs/user_guides/primitives_pipelines/primitives/MinMaxScaler.rst
index d31e4b74..6de32801 100644
--- a/docs/user_guides/primitives_pipelines/primitives/MinMaxScaler.rst
+++ b/docs/user_guides/primitives_pipelines/primitives/MinMaxScaler.rst
@@ -7,7 +7,7 @@ MinMaxScaler
 
 **description**: this primitive transforms features by scaling each feature to a given range.
 
-see `json <https://github.com/MLBazaar/mlstars/blob/master/mlstars/primitives/sklearn.preprocessing.MinMaxScaler.json>`__.
+see `json <https://github.com/sintel-dev/ml-stars/blob/master/mlstars/primitives/sklearn.preprocessing.MinMaxScaler.json>`__.
 
 ==================== =================== =============================================================================================================
 argument              type                description  
diff --git a/docs/user_guides/primitives_pipelines/primitives/SimpleImputer.rst b/docs/user_guides/primitives_pipelines/primitives/SimpleImputer.rst
index 000992e0..389daff0 100644
--- a/docs/user_guides/primitives_pipelines/primitives/SimpleImputer.rst
+++ b/docs/user_guides/primitives_pipelines/primitives/SimpleImputer.rst
@@ -7,7 +7,7 @@ SimpleImputer
 
 **description**: this primitive is an imputation transformer for filling missing values.
 
-see `json <https://github.com/MLBazaar/mlstars/blob/master/mlstars/primitives/sklearn.impute.SimpleImputer.json>`__.
+see `json <https://github.com/sintel-dev/ml-stars/blob/master/mlstars/primitives/sklearn.impute.SimpleImputer.json>`__.
 
 ==================== ========================================================= ==========================================
 argument              type                                                      description  
diff --git a/docs/user_guides/primitives_pipelines/primitives/arima.rst b/docs/user_guides/primitives_pipelines/primitives/arima.rst
index 0c95e9c1..b05a5375 100644
--- a/docs/user_guides/primitives_pipelines/primitives/arima.rst
+++ b/docs/user_guides/primitives_pipelines/primitives/arima.rst
@@ -7,7 +7,7 @@ ARIMA
 
 **description**: this is an Autoregressive Integrated Moving Average (ARIMA) prediction model.
 
-see `json <https://github.com/MLBazaar/mlstars/blob/master/mlstars/primitives/statsmodels.tsa.arima_model.Arima.json>`__.
+see `json <https://github.com/sintel-dev/ml-stars/blob/master/mlstars/primitives/statsmodels.tsa.arima_model.Arima.json>`__.
 
 ==================== =================== ==================================================================
 argument              type                description  
diff --git a/docs/user_guides/primitives_pipelines/primitives/intervals_to_mask.rst b/docs/user_guides/primitives_pipelines/primitives/intervals_to_mask.rst
index 6e1c4431..98380fd6 100644
--- a/docs/user_guides/primitives_pipelines/primitives/intervals_to_mask.rst
+++ b/docs/user_guides/primitives_pipelines/primitives/intervals_to_mask.rst
@@ -7,7 +7,7 @@ intervals to mask
 
 **description**: this primitive creates boolean mask from given intervals.
 
-see `json <https://github.com/MLBazaar/mlstars/blob/master/mlstars/primitives/mlstars.custom.timeseries_preprocessing.intervals_to_mask.json>`__.
+see `json <https://github.com/sintel-dev/ml-stars/blob/master/mlstars/primitives/mlstars.custom.timeseries_preprocessing.intervals_to_mask.json>`__.
 
 ==================== =============================== =================================================================================================================================
 argument              type                            description  
diff --git a/docs/user_guides/primitives_pipelines/primitives/rolling_window_sequences.rst b/docs/user_guides/primitives_pipelines/primitives/rolling_window_sequences.rst
index 14656f43..30efd4f8 100644
--- a/docs/user_guides/primitives_pipelines/primitives/rolling_window_sequences.rst
+++ b/docs/user_guides/primitives_pipelines/primitives/rolling_window_sequences.rst
@@ -7,7 +7,7 @@ rolling window sequence
 
 **description**: this primitive generates many sub-sequences of the original sequence. it uses a rolling window approach to create the sub-sequences out of time series data.
 
-see `json <https://github.com/MLBazaar/mlstars/blob/master/mlstars/primitives/mlstars.custom.timeseries_preprocessing.rolling_window_sequences.json>`__.
+see `json <https://github.com/sintel-dev/ml-stars/blob/master/mlstars/primitives/mlstars.custom.timeseries_preprocessing.rolling_window_sequences.json>`__.
 
 ==================== ============================================================== ==================================================================
  argument             type                                                           description  
diff --git a/docs/user_guides/primitives_pipelines/primitives/time_segments_aggregate.rst b/docs/user_guides/primitives_pipelines/primitives/time_segments_aggregate.rst
index 29719eea..3b91f043 100644
--- a/docs/user_guides/primitives_pipelines/primitives/time_segments_aggregate.rst
+++ b/docs/user_guides/primitives_pipelines/primitives/time_segments_aggregate.rst
@@ -7,7 +7,7 @@ time segments aggregate
 
 **description**: this primitive creates an equi-spaced time series by aggregating values over fixed specified interval.
 
-see `json <https://github.com/MLBazaar/mlstars/blob/master/mlstars/primitives/mlstars.custom.timeseries_preprocessing.time_segments_aggregate.json>`__.
+see `json <https://github.com/sintel-dev/ml-stars/blob/master/mlstars/primitives/mlstars.custom.timeseries_preprocessing.time_segments_aggregate.json>`__.
 
 ==================== =========================================== =============================================================================================================================
 argument              type                                        description