# Examples

- [Python](https://serving.konduit.ai/0.1.0-snapshot/examples/python.md)
- [TensorFlow (1.x)](https://serving.konduit.ai/0.1.0-snapshot/examples/python/tensorflow-model-serving.md)
- [MNIST](https://serving.konduit.ai/0.1.0-snapshot/examples/python/tensorflow-model-serving/tf-mnist.md): This notebook illustrates a simple client-server interaction to perform inference on a TensorFlow model using the Python SDK for Konduit Serving.
- [BERT](https://serving.konduit.ai/0.1.0-snapshot/examples/python/tensorflow-model-serving/tf-bert.md): This notebook illustrates a simple client-server interaction to perform inference on a TensorFlow model using the Python SDK for Konduit Serving.
- [Deeplearning4j (DL4J)](https://serving.konduit.ai/0.1.0-snapshot/examples/python/dl4j.md): This page illustrates a simple client-server interaction to perform inference on a DL4J image classification model using the Python SDK for Konduit Serving.
- [DataVec](https://serving.konduit.ai/0.1.0-snapshot/examples/python/datavec.md): Konduit Serving supports data transformations defined by the DataVec vectorization and ETL library.
- [Open Neural Network Exchange (ONNX)](https://serving.konduit.ai/0.1.0-snapshot/examples/python/onnx.md): This notebook provides an example of serving a model built in PyTorch with ONNX Runtime, a cross-platform, high performance scoring engine for machine learning models.
- [Keras (TensorFlow 2.0)](https://serving.konduit.ai/0.1.0-snapshot/examples/python/keras.md): This page illustrates a simple client-server interaction to perform inference on a Keras LSTM model using the Python SDK for Konduit Serving.
- [Java](https://serving.konduit.ai/0.1.0-snapshot/examples/java.md)
- [TensorFlow (2.x)](https://serving.konduit.ai/0.1.0-snapshot/examples/java/tensorflow-model-serving.md)
- [MNIST](https://serving.konduit.ai/0.1.0-snapshot/examples/java/tensorflow-model-serving/tf-mnist_java.md): This page illustrates a simple client-server interaction to perform inference on a TensorFlow model using the Java SDK for Konduit Serving.
- [BERT](https://serving.konduit.ai/0.1.0-snapshot/examples/java/tensorflow-model-serving/tf-bert_java.md): This page illustrates a simple client-server interaction to perform inference on a TensorFlow model using the Java SDK for Konduit Serving.
- [Deeplearning4j (DL4J)](https://serving.konduit.ai/0.1.0-snapshot/examples/java/dl4j_java.md): This document illustrates how to create Konduit Serving configurations with the Java SDK:
- [DataVec](https://serving.konduit.ai/0.1.0-snapshot/examples/java/datavec_java.md): Konduit Serving supports data transformations defined by the DataVec vectorization and ETL library.
- [Open Neural Network Exchange (ONNX)](https://serving.konduit.ai/0.1.0-snapshot/examples/java/onnx_java.md): This page provides a Java example of inferencing  a model, built in Python with ONNX Runtime, a cross-platform, high performance scoring engine for machine learning models.
- [Keras (TensorFlow 2.0)](https://serving.konduit.ai/0.1.0-snapshot/examples/java/keras_java.md): This page illustrates a simple client-server interaction to perform inference on a Keras LSTM model using the Java SDK for Konduit Serving.


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