Deploy DL/ ML inference pipelines with minimal extra code.
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Updated
Apr 23, 2024 - Python
Deploy DL/ ML inference pipelines with minimal extra code.
Creating a Dockerized stack environment using MLflow, mysql and Minio to manage the lifecycle of TensorFlow models.
Simple examples of serving HuggingFace models with TensorFlow Serving
Serving YOLOv8 detection model with tf-serving
A minimalistic and pluggable machine learning platform for Kubernetes.
中文NER的那些事儿
A Flask REST API to serve trained ChatBots using Tensorflow Serving and Docker Containers
finetune with keras
Bot for the online pokemon guessing game: https://gearoid.me/pokemon/
[Late Submission] Solution for Kuzushiji recognition (Kaggle competition)
Python package that can help you train an image classification model using transfer learning and serve the model with TensorFlow Serving and Docker.
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.
Client for TensorFlow Serving
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