Streamlit is an open source Python library that makes it easy to create and share beautiful, custom web apps for machine learning and data science.
Turn your data scripts into shareable web apps in minutes, without requiring any front-end web experience.
Streamlit — A faster way to build and share data apps.
Chat with your legal assistant.
10+ scripts about the COVID-statistics in the Netherlands, accessibile at https://share.streamlit.io/rcsmit/covidcases/main/covid_menu_streamlit.py
ISS Data with Web-App and Newsletter option
Artificial Intelligence model trained with a CNN to detect fake images generated with AI using Deep learning.
Python Streamlit web app utilizing the OpenAI API to communicate with the Dalle2 image generation model, based on user input.
Template for Deploying a containerised Streamlit application on Azure Linux Web App 🐳🚀☁️ Infra managed via Terraform🛠️
The Trends in Data Jobs project is a web scraping and data visualization tool designed to track and analyze trends in data-related job postings.
The "Chat with PDF using AWS Bedrock" application is a Retrieval-Augmented Generation (RAG) system that allows users to interact with PDF documents through a chat interface.
a cash register revolution application that uses machine learning to detect retail product objects.
example portfolio for chatbots made with streamlit, u need to use your OpenAI API key to start a chat
Gene Drive (CRISPR) population crash simulation.
In this Machine learning project I have selected three diseases for predict status. The disease are Kidney Disease prediction, Heart Disease prediction and Diabetes disease prediction.
A Streamlit app which fetches an overview data from the World Bank API.
A Retrieval-Augmented Generation (RAG) Chatbot built on top of ChatGPT. Just upload your document and ask DocuMate anything about it.
Stock Trend Prediction with LSTM is a powerful tool designed to empower users with insights into the dynamic world of stock market trends. Leveraging cutting-edge technologies such as Long Short-Term Memory (LSTM) networks and real-time data from Yahoo Finance, this project enables users to forecast future price movements of stocks with precision.
Serverless Streamlit 🎈🚀
End-to-End Machine Learning project I made as a machine learning intern @ Mentorness
Created by Adrien Treuille, Amanda Kelly, Thiago Teixeira
Released March 27, 2018
Latest release 19 days ago