This is the first project of the ML-Ops Dicoding class. This project serves to classify whether a title is included in the clickbait category or not.

Multi-task deep learning model for clothes classification

This is the final project of the ML-Ops Dicoding class. This project serves to predict whether a person has lung cancer or not.

An all-in-one platform that allows in-depth monitoring of factories ensuring that workers keep a certain distance between each other while wearing covid-preventive gear (medical masks). The platform's capabilities can be extended to other types of alerts by integrating new models and devices.

Serving YOLOv8 detection model with tf-serving

This is a deep learning project in agriculture domain that detect plants diseases

MNIST Tensorflow Serving Example with gRPC and Restful API

Beginner friendly starting point for Tensorflow Serving and Docker

Creating a Dockerized stack environment using MLflow, mysql and Minio to manage the lifecycle of TensorFlow models.

Use TF serving for predictions

A React Native mobile application which is used to classify the potato disease by using convolutional neural networks and TensorFlow. This application also consists of ReactJs application which runs on the web, gives the classification results based on the image uploaded by the user.

Brain Tumor Classification done by using deep-learning (CNN) for the sake of detecting and classifying different kinds of brain-tumors; for quick detection and providing correct medications. Link of the website 👇

A Flask REST API to serve trained ChatBots using Tensorflow Serving and Docker Containers

Python package that can help you train an image classification model using transfer learning and serve the model with TensorFlow Serving and Docker.

Tf-seving example

Bot for the online pokemon guessing game: https://gearoid.me/pokemon/

TensorFlow Serving Unity Application