Unified Model Serving Framework
-
Updated
Jan 13, 2023 - Python
Unified Model Serving Framework
Model Deployment at Scale on Kubernetes
BentoML Example Projects
This repository contains instructions, template source code and examples on how to serve/deploy machine learning models using various frameworks and applications such as Docker, Flask, FastAPI, BentoML, Streamlit, MLflow and even code on how to deploy your machine learning model as an android app.
My repo for the Machine Learning Engineering bootcamp by DataTalks.Club
Generate novel text - novel finetuned from skt KoGPT2 base v2 - 한국어
A bentoML-powered API to transcribe audio and make sense of it
DKT Project Served by Airflow / BentoML / Docker Swarm
Helm Chart for installing Yatai on Kubernetes ⎈
Machine Learning Web Application. Helps to visualize a character-by-character breakdown of how sentiment analysis classifies text
Flask-ML grants any type of user (not only data scientist) an easy and compact UI Tool that supports BentoML to process images based on state-of-the-art machine learning approaches.
To automatically tag people in various chat groups
Deploying machine learning model using 10+ different deployment tools
Contains my experiments made with the mighty library BentoML
Add a description, image, and links to the bentoml topic page so that developers can more easily learn about it.
To associate your repository with the bentoml topic, visit your repo's landing page and select "manage topics."