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
Tensorflow Minions Spongebob Classification
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.
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.
End-to-end ⚔️ deep learning 🤖 based blight detection in potato plant🥔🥔 using convolutional neural network
A Flask web application for the classification of bird species built using TFServing, Docker and MySQL.
Deep convolution/recurrent neural network project with TensorFlow
Predict house price using Keras functional API.
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.
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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