Found 2,647 repositories(showing 30)
logan-markewich
This repository provides very basic flask, streamlit, and docker examples for the llama_index (fka gpt_index) package
seehiong
A Streamlit web app that predicts Singapore HDB resale flat prices using a pre-trained XGBoost model. Includes an interactive transaction map, light/dark theme toggle, and Docker support for easy deployment.
amalshaji
style transfer web app [FastAPI + streamlit + Docker]
collinprather
Bare bones use-case for deploying a containerized web app (built in streamlit) on AWS.
ash2shukla
Dockerizing streamlit application and deploying it on heroku.
amjadraza
A langchain streamlit docker template
YOLOv8 object detection, tracking, image segmentation and pose estimation app using Ultralytics API (for detection, segmentation and pose estimation), as well as DeepSORT (for tracking) in Python. This app uses an UI made with streamlit and it can be deployed with Docker.
Nneji123
Credit Card Fraud Detection App built with Streamlit, FastAPI and Docker.
Joshmantova
Deployed bird classification webapp using Deep Learning, Docker, and Streamlit. Users can go onto the webapp and either upload their own images of birds or select from a set of images to feed through a Deep Learning model and display a prediction.
neonwatty
A simple youtube / shorts video downloader app. Built to self-host with Python, Streamlit, and Docker. Free and open source.
Nneji123
This repository contains instructions, template source code and examples on how to serve/deploy machine learning models using various frameworks and applications such as Docker, Flask, FastAPI, BentoML, Streamlit, MLflow and even code on how to deploy your machine learning model as an android app.
airscholar
This repository contains the code for a realtime election voting system. The system is built using Python, Kafka, Spark Streaming, Postgres and Streamlit. The system is built using Docker Compose to easily spin up the required services in Docker containers.
Elkhn
A Streamlit-based chat app for LLMs with plug-and-play tool support via Model Context Protocol (MCP), powered by LangChain, LangGraph, and Docker.
MariyaSha
Simple AI Assistant GUI Application with Docker Model Runner and Streamlit
dmancevo
Docker Streamlit Template
joeychrys
Streamlit deployment with Traefik and Docker
oxbshw
🧠 Context Engineering is an open-source toolkit to visualize, test, and optimize how LLMs process context windows. Includes a Streamlit app, RAG simulation, educational docs, and Docker support—perfect for prompt engineers, researchers, and AI developers.
ronnie-1205
ContainerHub is a lightweight, dark-themed Streamlit dashboard for quickly accessing your local Docker services via Tailscale. Add links through a JSON file and open services with one click — no need to remember ports. Mobile-friendly, secure, and fully containerized.
domoritz
No description available
RyanEricLamb
Data engineering project using UK Bus Open Data Service (BODS) to calculate late buses in real-time for any selected region in England. Prefect, Docker, Terraform, Google CloudRun, BigQuery and Streamlit
ikantkode
A simple streamlit app to play with qwen3-2b-VL to perform OCR. Dockerized set up, tested with 3060 12 GB.
entbappy
No description available
bigsk1
Integrates Supabase with Crawl4AI and AI Chat to create a powerful web crawling and semantic search solution. Streamlit supabase data visualization. Run all in Docker. API and more!
No description available
使用 FastAPI、Streamlit本地部署ChatTTS文本转语音模型,并通过 Docker Compose 进行容器化部署。
Prototyping a Machine Learning Application with Streamlit, FastAPI, Hugging Face and Docker
ikantkode
A simple streamlit app, dockerized, to do OCR on documents. I'm lazy, idk.
MrTomerLevi
A docker container for https://streamlit.io - interactive python and machine learning library
longNguyen010203
A Data Engineering Project that implements an ETL data pipeline using Dagster, Apache Spark, Streamlit, MinIO, Metabase, Dbt, Polars, Docker. Data from kaggle and youtube-api
AmirhosseinHonardoust
A Streamlit-powered machine learning playground that automatically detects classification or regression tasks, builds pipelines with preprocessing, trains models interactively, and visualizes metrics using Plotly. Backward-compatible, fully responsive, and deployable on Streamlit Cloud or Docker.