Unified Model Serving Framework
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Updated
May 3, 2023 - Python
Unified Model Serving Framework
Model Deployment at Scale on Kubernetes
BentoML Example Projects
Pybind11 bindings for Whisper.cpp
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.
A bentoML-powered API to transcribe audio and make sense of it
My repo for the Machine Learning Engineering bootcamp 2022 by DataTalks.Club
Generate novel text - novel finetuned from skt KoGPT2 base v2 - 한국어
DKT Project Served by Airflow / BentoML / Docker Swarm
Helm Chart for installing Yatai on Kubernetes ⎈
A simple web application that lets you replace any part of an image with an image generated based on your description.
Machine Learning Web Application. Helps to visualize a character-by-character breakdown of how sentiment analysis classifies text
A pipeline built on MetaFlow for training Fashion MNIST dataset using Pytorch, experiment tracking using MLFlow and model deployment using BentoML
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
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