Prototyping a Machine Learning Application with Streamlit, FastAPI, Hugging Face and Docker
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Updated
Apr 12, 2023 - Python
Prototyping a Machine Learning Application with Streamlit, FastAPI, Hugging Face and Docker
Web app to predict knee osteoarthritis grade using Deep Learning and Streamlit
🔍 Flask-based web application for image classification. The application leverages the ResNet50 model from Keras to classify uploaded images.
A ML application focused on EDA and basketball analytics, showcasing data visualization and insights using Python and relevant libraries.
ML Web-App using Tensorflow and Django.
A simple mahcine learning application for stock prices, demonstrating data preprocessing, model training, and deployment using scikit-learn.
A movie recommendation engine that recommends you movies based on their similarity to a movie that you've already watched and liked.
Flusk Tutorial is featuring a to Flask, a Python web framework. It may include basic or tutorials covering Flask fundamentals for Machine Learning.
🏠 Built with machine learning, Dockerized for containerization, and automated with GitHub Actions for seamless CI/CD deployment with Render.
Web App to do Sentiment Analysis on the given text
Credit Card Transaction Fraud Detection App built using XGBoost, FastApi, Streamlit and Docker
This web app uses a Random Forrest Regressor model to suggest a suitable price for used cars.
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