Client for TensorFlow Serving
-
Updated
Mar 27, 2018 - Python
Client for TensorFlow Serving
TensorFlow Serving Unity Application
Using pachyderm as pipeline engine to serve "taxi chicago" machine learning models
Multi-task deep learning model for clothes classification
Image Deblurring/Restoration Web Application Powered by Deep Learning
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.
Beginner friendly starting point for Tensorflow Serving and Docker
Python package that can help you train an image classification model using transfer learning and serve the model with TensorFlow Serving and Docker.
[Late Submission] Solution for Kuzushiji recognition (Kaggle competition)
Bot for the online pokemon guessing game: https://gearoid.me/pokemon/
finetune with keras
Potato Disease Classification done by using deep-learning and for the sake of knowing various diseases caused to Potato plant and for quick remedial action. Link of the website 👇
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 👇
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.
This is the final project of the ML-Ops Dicoding class. This project serves to predict whether a person has lung cancer or not.
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.
Add a description, image, and links to the tf-serving topic page so that developers can more easily learn about it.
To associate your repository with the tf-serving topic, visit your repo's landing page and select "manage topics."