alvertogit/deeplearning_flask
Data Science AI Artificial Intelligence Deep Learning Python Keras Keras3 TensorFlow TensorFlow2 Flask Flask3 Docker NGINX Gunicorn microservices REST API Jupyter Lab Notebook GitHub Actions Ruff
This project helps machine learning engineers or data scientists deploy pre-trained deep learning models as web services. It takes a trained model and serves it through a web API, allowing other applications to send data (like an image) and receive predictions in return. This is useful for integrating AI capabilities into larger systems or applications.
Use this if you are a machine learning engineer looking to expose a trained deep learning model as a scalable and accessible web API.
Not ideal if you need a high-performance, real-time prediction service for extremely high-volume traffic without microservice overhead, or if you are not comfortable with Flask, Docker, and API concepts.
Stars
21
Forks
9
Language
Jupyter Notebook
License
—
Category
Last pushed
Mar 08, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/alvertogit/deeplearning_flask"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
ai4os/DEEPaaS
A REST API to serve machine learning and deep learning models
GZTipDM/TipDM
TipDM建模平台,开源的数据挖掘工具。
pratos/flask_api
Creating a Machine Learning API using Flask - Repository for AV Article
datmo/datmo
Open source production model management tool for data scientists
kb22/ML-React-App-Template
This is a template for creating a Machine Learning application with its front-end developed...