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中文NER的那些事儿
Deploy DL/ ML inference pipelines with minimal extra code.
A minimalistic and pluggable machine learning platform for Kubernetes.
Distributed model cache for TF Serving
[Late Submission] Solution for Kuzushiji recognition (Kaggle competition)
finetune with keras
Simple examples of serving HuggingFace models with TensorFlow Serving
Client for TensorFlow Serving
A Flask REST API to serve trained ChatBots using Tensorflow Serving and Docker Containers
This is an end-to-end project in the agricultural domain. A Convolutional Neural Network (CNN) model is trained to detect whether a tomato plant has a particular disease by using a picture of its leaf. The model can be accessed from a mobile application or a web page.
Image Deblurring/Restoration Web Application Powered by Deep Learning
Serving YOLOv8 detection model with tf-serving
Creating a Dockerized stack environment using MLflow, mysql and Minio to manage the lifecycle of TensorFlow models.
Using pachyderm as pipeline engine to serve "taxi chicago" machine learning models
Bot for the online pokemon guessing game: https://gearoid.me/pokemon/
This is a deep learning project in agriculture domain that detect plants diseases
Beginner friendly starting point for Tensorflow Serving and Docker
This is the final project of the ML-Ops Dicoding class. This project serves to predict whether a person has lung cancer or not.
MNIST Tensorflow Serving Example with gRPC and Restful API
TensorFlow Serving Unity Application
Multi-task deep learning model for clothes classification
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 👇
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 👇
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.
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.
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.
Python package that can help you train an image classification model using transfer learning and serve the model with TensorFlow Serving and Docker.