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.
The purpose of this project is to share knowledge on how awesome Streamlit is and can be
Using U-Net Model to Detect Wildfire from Satellite Imagery
🧊 Show pyvista 3D visualizations in streamlit
Deploying Pyvis Interactive Network Graphs in Streamlit
Pure static HTML/JS Streamlit component toggle button implementation
Sales Conversion Optimization MLOps: Boost revenue with AI-powered insights. Features H2O AutoML, ZenML pipelines, Neptune.ai tracking, data validation, drift analysis, CI/CD, Streamlit app, Docker, and GitHub Actions. Includes e-mail alerts, Discord/Slack integration, and SHAP interpretability. Streamline ML workflow and enhance sales performance.
Simple, Fast, Scalable , production grade dashboard application . Right solution for team
Building a Logistic regression model for the prediction of Sales and implementing it in a web app based on Python 🐍
A guide to fine-tuning DistilBERT on the tweets of American Senators with snscrape, SQLite, and Transformers (PyTorch) on Google Colab.
Streamlit Web App + Google Playstore Analysis (50.038 Computational Data Science Project)
LABS Final Project: Yelp_GoogleMaps_Reviews - Roles: Data Engineer, Data Analyst, Machine Learning Engineer, Data Scientist | Bootcamp Henry: Data Science Career | DataFT Cohort 17
台灣南島語-華語句庫資料集(Dataset of Formosan-Mandarin sentence pairs)
Enhance your gaming strategy with Crash Predict, a Python-based dashboard for duelbets.com crash game, powered by advanced AI models. Predict game multiplier, ensuring a safer and more calculated gaming experience.
Created by Adrien Treuille, Amanda Kelly, Thiago Teixeira
Released March 27, 2018
Latest release about 1 month ago