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
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.
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 👇
[Late Submission] Solution for Kuzushiji recognition (Kaggle competition)
Using pachyderm as pipeline engine to serve "taxi chicago" machine learning models
Serving YOLOv8 detection model with tf-serving
Image Deblurring/Restoration Web Application Powered by Deep Learning
TensorFlow Serving Unity Application
Simple examples of serving HuggingFace models with TensorFlow Serving
This is a deep learning project in agriculture domain that detect plants diseases
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.
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.
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