simple_tensorflow_serving and tfserve
About simple_tensorflow_serving
tobegit3hub/simple_tensorflow_serving
Generic and easy-to-use serving service for machine learning models
This project helps machine learning engineers and MLOps professionals deploy their trained machine learning models, regardless of the framework used, into a live environment. You input your pre-trained model files, and it creates a web service (API endpoint) that other applications can call to get predictions. This allows your models to be integrated into larger systems, providing real-time intelligence or automated decision-making.
About tfserve
iitzco/tfserve
Serve TF models simple and easy as an HTTP API
This tool helps machine learning engineers and data scientists deploy TensorFlow models as simple HTTP APIs. You provide a trained TensorFlow model (a .pb file or checkpoint directory) and specify the input/output tensor names. It then handles incoming data, passes it through your model, and returns the predictions as an HTTP response.
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