TF Tutorials (#198)

README.md

@@ -48,7 +48,11 @@ In order to understand the tutorials you need to be familiar with general concep
     - [Credit Scores](https://github.com/logicalclocks/hopsworks-tutorials/tree/master/advanced_tutorials/credit_scores): Predict clients' repayment abilities.
     - [Electricity](https://github.com/logicalclocks/hopsworks-tutorials/tree/master/advanced_tutorials/electricity): Predict the electricity prices in several Swedish cities based on weather conditions, previous prices, and Swedish holidays.
     - [NYC Taxi Fares](https://github.com/logicalclocks/hopsworks-tutorials/tree/master/advanced_tutorials/nyc_taxi_fares): Predict the fare amount for a taxi ride in New York City given the pickup and dropoff locations.
-- Integrations:
+    - [Keras model and Sklearn Transformation Functions with Hopsworks Model Registry](https://github.com/logicalclocks/hopsworks-tutorials/tree/master/advanced_tutorials/transformation_functions/keras): How to register Sklearn Transformation Functions and Keras model in the Hopsworks Model Registry, how to retrieve them and then use in training and inference pipelines.
+    - [PyTorch model and Sklearn Transformation Functions with Hopsworks Model Registry](https://github.com/logicalclocks/hopsworks-tutorials/tree/master/advanced_tutorials/transformation_functions/pytorch): How to register Sklearn Transformation Functions and PyTorch model in the Hopsworks Model Registry, how to retrieve them and then use in training and inference pipelines.
+    - [Sklearn Transformation Functions With Hopsworks Model Registy](https://github.com/logicalclocks/hopsworks-tutorials/tree/master/advanced_tutorials/transformation_functions/sklearn): How to register sklearn.pipeline with transformation functions and classifier in Hopsworks Model Registry and use it in training and inference pipelines.
+    - [Custom Transformation Functions](https://github.com/logicalclocks/hopsworks-tutorials/tree/master/advanced_tutorials/transformation_functions/custom): How to register custom transformation functions in hopsworks feature store use then in training and inference pipelines.
+- Integrations: 
     - [BigQuery Storage Connector](https://github.com/logicalclocks/hopsworks-tutorials/tree/master/integrations/big_query): Create an External Feature Group using BigQuery Storage Connector.
     - [Google Cloud Storage](https://github.com/logicalclocks/hopsworks-tutorials/tree/master/integrations/gcs): Create an External Feature Group using GCS Storage Connector.
     - [Redshift](https://github.com/logicalclocks/hopsworks-tutorials/tree/master/integrations/redshift): Create an External Feature Group using Redshift Storage Connector.