A set of demo of deploying a Machine Learning Model in production using various methods
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Updated
Sep 22, 2021 - Python
A set of demo of deploying a Machine Learning Model in production using various methods
This repository shows various ways of deploying a vision model (TensorFlow) from 🤗 Transformers.
Python gRPC Client to access remote gRPC TensorFlow Server
Hands-on labs on deploying machine learning models with tf-serving and KServe
Using pachyderm as pipeline engine to serve "taxi chicago" machine learning models
This repository contains code to train, export and serve a Tensorflow model with TFServing. Additionally, this repository provides the installation and configuration of TFServing through a Docker image.
Tensorflow Minions Spongebob Classification
A Flask web application for the classification of bird species built using TFServing, Docker and MySQL.
Blight is a term used to describe various plant diseases caused by pathogens such as fungi, bacteria, or oomycetes. These diseases can affect a wide range of plants, including crops, trees, and ornamental plants. Blight diseases are highly contagious and can spread rapidly, leading to severe damage to agricultural crops.
End-to-end ⚔️ deep learning 🤖 based blight detection in potato plant🥔🥔 using convolutional neural network
Utilizing deep learning and CNNs, this repository showcases a robust model for early detection of potato diseases. With TensorFlow, FastAPI, and TF Serving, the system integrates efficient backend operations. ReactJS and React Native power the user-friendly frontend. Explore for end-to-end insights, from data preprocessing to model deployment.
Deep convolution/recurrent neural network project with TensorFlow
Predict house price using Keras functional API.
Jupyter Notebook that demonstrates the conversion of Keras Model to TFServing architecture
A small example project for accessing TensorFlow serving from the JVM
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