savedmodel

Generic and easy-to-use serving service for machine learning models

A tutorial of building tensorflow serving service from scratch

wetron is a browser-based neural network model visualizer. Open a model and explore its computation graph interactively.

Demonstrates how to divide a DL model into multiple IR model files (division) and introduce a simplest way to implement a custom layer works with OpenVINO IR models.

Lightweight tool that generates Go structures and Tensorflow inference execution code from SavedModel

Merging Models for TensorFlow Serving HOT UPDATING

Our Little Tools

Example how to deploy your TensorFlow model in production using the Tensorflow-serving

Demo on performing multiclass image classification using Convolutional Neural Network (CNN) in Tensorflow 2. Techniques such as earlystopping, batchnormalizing and dropout are explored to prevent overfitting

Fire Detection TFOD 2.0

Simple TensorFlow model deployment using NVIDIA DLI environment

text classification, text to emotions notebook 🎨

Image classification project using machine learning, CNN, and transfer learning. Includes model training and deployment examples with TensorFlow Lite (TFLite), TensorFlow SavedModel, and TensorFlow.js (TFJS). This repository provides scripts, models, and deployment guides for easy integration.

Angular webapp to demo minst-cnn inference

TensorFlow / Keras experiment that builds and saves a sample SavedModel.