Streamlit Component to quickly create Interactive Flow Diagrams using React Flow

Project using machine learning to predict depression using health care data from the CDC NHANES website. A companion dashboard for users to explore the data in this project was created using Streamlit. Written with python using jupyter notebook for the main project flow/analysis and visual studio code for writing custom functions and creating the dashboard.

A Streamlit Wrapper around React-flow component

A web application with a backend in Flask and frontend in React, and React flow node base environment to stream both Gradio ( and later Streamlit ) interfaces, within a single application.

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This project showcases a comprehensive authentication system using Supabase as the backend, implemented with both Streamlit and FastAPI frontends. It demonstrates how to build secure, user-friendly authentication flows in two popular Python web frameworks.

A basic web-app for image classification using Streamlit and Tensorflow

A streamlit app (running from github pages using the stlite package) for teaching concepts of discrete event simulation, including animated entity flow plots created in Plotly

A deep learning web app , made using streamlit. Web app can deployed straight from Google collab

Docs and Demos for the usage of Streamlit Flow

A Streamlit-based application for analyzing capital flow and technical indicators of stocks in the Vietnamese stock market, powered by real-time data from vnstock.

Streamlit dashboard simulating public vs. batched order flow — visualize MEV, slippage, and attacker PnL

serves the purpose of model deployment

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This project is a Streamlit-based web application for flower classification using a deep learning model trained from scratch. The web app allows users to upload an image of a flower and predicts the flower species

This package provides an interactive Streamlit app to visualize the gradient flow of a simple neural network during training. You can adjust the network's parameters and see real-time updates of the loss and gradient magnitudes.

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Flower retrieval with streamlit

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An AI chatbot web app build using Langchain, Flowise, Pinecone, and Streamlit.

🚀 无代码机器学习训练平台 一个基于 Streamlit 的 Web 应用，让没有编程经验的用户也能轻松训练机器学习模型。通过可视化界面选择数据集、调节参数、训练模型并查看结果。 ✨ 核心功能： • 内置 4 个经典数据集 + 自定义 CSV 上传 • 5 种机器学习算法（逻辑回归、决策树、随机森林、SVM、K近邻） • 实时训练进度监控和可视化评估 • 模型导出为 PKL/Joblib 格式 • 支持预训练模型继续训练和推理 🖥️ 一键运行：`streamlit run 19_streamlit_advanced.py` 🔧 技术栈：Python, Streamlit, Scikit-learn, Pandas

A simple LeNet Builder using Streamlit and stream-flow

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In this project, images of 3 flowers were analyzed with dozens of CNN models and the best model with accuracy = 1 was deployed using Streamlit

VISIONFLOW is an AI-powered tool that converts meeting recordings into structured documentation and visual logic flows. It combines Whisper for transcription, LLMs for semantic analysis, and ChromaDB for RAG-based content generation — all wrapped in a modular and streamlit-driven interface.

Interactive cluster visualization and manipulation tool built with Streamlit. Features drag-and-drop operations, real-time search, undo system, and seamless JSON import/export for team and data management.

This is a Streamlit app that will help with discounted cash flow

Streamlit Application for Flower Recognition using MobileNet

Stock and Crypto Price Prediction with TensorFlow, LSTM, Linear Regression and Streamlit