中文NER的那些事儿
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Updated
Sep 18, 2023 - Python
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.
finetune with keras
Distributed model cache for TF Serving
Client for TensorFlow Serving
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 👇
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.
[Late Submission] Solution for Kuzushiji recognition (Kaggle competition)
Using pachyderm as pipeline engine to serve "taxi chicago" machine learning models
Image Deblurring/Restoration Web Application Powered by Deep Learning
TensorFlow Serving Unity Application
Simple examples of serving HuggingFace models with TensorFlow Serving
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
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.
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