A webservice that provides endpoints to manage ML-model deployments via BentoML in tmux-sessions or Docker containers
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Updated
Feb 2, 2022 - Python
A webservice that provides endpoints to manage ML-model deployments via BentoML in tmux-sessions or Docker containers
This is base project of bentoml and machine learning model with poetry env
GitHub repo showcasing a SVM-based Iris flower species classifier. Leveraging BentoML for model deployment and Swagger API integration. Trained on the Iris dataset with 150 instances from 3 species. Ready for collaborative contributions.
Evaluating several Machine Learning Models in order to predict the price of a phone.
Serving and Deploying Machine Learning Models with BentoML
Machine Learning (Streaming) with KAFKA, Debezium and BentoML Service.
A project that uses BentoML to store and serves a model.
Repo with code used in the "Deploying ML Into Production" video tutorial on The Sound of AI channel
NER, sequence labeling experiments & prototypes
LifeCycle for ML
Deploy deep learning models via microservice architecture.
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