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Model Serving using FastAPI and Streamlit
Simple example of usage of streamlit and FastAPI for ML model serving.
fastapi streamlit deeplabv3 semantic-segmentation
Creating an End-to-End Machine Learning Application
A complete, end-to-end ML application, implemented in both TensorFlow 2.0 and PyTorch.
api tensorflow python production
How to Set Up a HTML App with FastAPI, Jinja, Forms & Templates
I couldn’t find any guides on how to serve HTML with FastAPI. Thus, I wrote this simple article to plug the hole on the internet.
fastapi html templates jinja
Project Insight is designed to create NLP as a service with code base for both front end GUI (streamlit) and backend server (FastAPI) the usage of ...
fastapi huggingface transformers pytorch
Tldrstory: AI-powered Understanding of Headlines and Story Text
A framework for AI-powered understanding of headlines and text content related to stories.
zero-shot-learning text-similarity similarity-search streamlit
FastAPI framework, high performance, easy to learn, fast to code, ready for production.
api fastapi library code
A comprehensive healthcare conversational agent powered by Visual QA and segmentation models.
question-answering health pytorch visual-question-answering
FastAPI for Flask Users
A comprehensive guide to FastAPI with a side-by-side code comparison with Flask
fastapi flask api article
Real Python Recommendation Engine
A full stack data science project that performs document similarity on content. Content recommendations are implemented via a Chrome ...
full-stack natural-language-processing data-science fastapi
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