TensorFlow Serving + Streamlit! :sparkles::framed_picture:

Web application demonstrating neural style transfer on images/webcam feeds. Built with tensorflow serving for model inference, and streamlit for UI/backend.

Train a deep learning model on the Digits dataset and deploy it across various platforms including Flask, FastAPI, Streamlit, Docker, AWS, Heroku, TensorFlow Serving, and more.

TensorFlow Serving with Docker and Streamlit

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A full StackWeb app solution to identify plant leaf diseases using Tensorflow (CNNs) for the ML models, FastAPI and tf_serving, GCP deployment, and Streamlit.

Entrenamiento y despliegue de un modelo de procesamiento de lenguaje natural para analizar sentimientos de tweets utilizando MLflow para registrar parámetros, métricas y artefactos, TensorFlow Serving como backend y Streamlit como frontend.

The Brain Tumor Prediction System is a full-stack application designed to detect brain tumors from MRI scans using a pre-trained TensorFlow/Keras model. It features a React-based frontend for uploading and analyzing images, a FastAPI backend for serving predictions, and a Streamlit interface for fine-tuning the model. Users can upload PNG/JPEG MRI