This repo is a curated list of Docker AI/ML use cases and case studies.
- The Model Context Protocol: Simplifying Building AI apps with Anthropic Claude Desktop and Docker
- What is Model Context Protocol (MCP) and what problem it solves?
- Exploring the Docker Desktop Extension for MCP servers
- Creating an MCP Server in Go and Serving it with Docker
- Postgres MCP Server, Docker and Claude Desktop
- Ask Gordon and Model Context Protocol (MCP) – Working Together
- GitHub MCP Server, Docker and Claude Desktop
- Getting Started with GenAI Stack powered with Docker, LangChain, Neo4j and Ollama
- Introducing a New GenAI Stack: Streamlined AI/ML Integration Made Easy
- Local LLM Messenger: Chat with GenAI on Your iPhone
- Using Generative AI to Create Runnable Markdown
- ReadMeAI: An AI-powered README Generator for Developers
- Build Your Own AI-Driven Code Analysis Chatbot for Developers with the GenAI Stack
- A Quick Guide to Containerizing Llamafile with Docker for AI Applications
- A Promising Methodology for Testing GenAI Applications in Java
- Building a Video Analysis and Transcription Chatbot with the GenAI Stack
- Build Multimodal GenAI Apps with OctoAI and Docker
- LLM Everywhere: Docker for Local and Hugging Face Hosting
- Build and Deploy a LangChain-Powered Chat App with Docker and Streamlit
- How to Run Hugging Face Models Programmatically Using Ollama and Testcontainers
- Effortlessly Build Machine Learning Apps with Hugging Face’s Docker Spaces
- Docker and Hugging Face Partner to Democratize AI
- How an AI Assistant Can Help Configure Your Project’s Git Hooks
- Docker Documentation Gets an AI-Powered Assistant
- The Strategic Imperative of AI in 2024
- “@docker can you help me…”: An Early Look at the Docker Extension for GitHub Copilot
- Streamline the Development of Real-Time AI Applications with MindsDB Docker Extension
- Creating AI-Enhanced Document Management with the GenAI Stack
- Better Debugging: How the Signal0ne Docker Extension Uses AI to Simplify Container Troubleshooting
- AI Trends Report 2024: AI’s Growing Role in Software Development
- Docker Partners with NVIDIA to Support Building and Running AI/ML Applications
- Empowering Data-Driven Development: Docker’s Collaboration with Snowflake and Docker AI Advancements
- Announcing Docker AI/ML Hackathon
- How IKEA Retail Standardizes Docker Images for Efficient Machine Learning Model Deployment
- How to Get Started with the Weaviate Vector Database on Docker
- Accelerating Machine Learning with TensorFlow.js: Using Pretrained Models and Docker
- Sentiment Analysis and Insights on Cryptocurrencies Using Docker and Containerized AI/ML Models
- Supercharging AI/ML Development with JupyterLab and Docker
- Why Are There More Than 100 Million Pull Requests for AI/ML Images on Docker Hub?
- Optimizing Deep Learning Workflows: Leveraging Stable Diffusion and Docker on WSL 2
- Conversational AI Made Easy: Developing an ML FAQ Model Demo from Scratch Using Rasa and Docker
- Full-Stack Reproducibility for AI/ML with Docker and Kaskada
- How to Develop and Deploy a Customer Churn Prediction Model Using Python, Streamlit, and Docker
- Build and Deploy a Retail Store Items Detection System Using No-Code AI Vision at the Edge
- How to Train and Deploy a Linear Regression Model Using PyTorch
- How to Deploy GPU-Accelerated Applications on Amazon ECS with Docker Compose
- Top Developer Trends for 2021
- Depend on Docker for Kubeflow
- SeamlessML: Docker-Powered Serverless Model Orchestration
- Python Package for ML deployments
- Callisto: An ML starter template using Docker
- AI/ML based data processing application with Docker
- DeepCySec
- Containerized Online Bandit Experimentation (COBE) Platform
- Signal0ne
- Dionysus
- DockerImageAnalyzer
- Docker Pulse
- Techdocs
- Docker Genius
- Docker Copilot
- CodeBot
- local mlops monitoring
- DockerAIML Beginner Project
- Docker Image Optimizer
- docker network visualization using openai
- docker-my-app
- Combodock
- Chiral AI - Chat with PRDs and Create Tickets in Record Time
- GitChats AI
- ReadmeAI
- SIFTBOX
- RavenML: Automate Business Workflows with AI and Docker
- P8Hub - Private AI Hub
- QGenie
- Health Square
- HeartFul Wellness
- Medical Image Analysis using Docker
- Segment life saver
- Diabetes-ml-project
- Local LLM Messenger (lollmm)
- Text Summarizer
- Multi-document Summarizer as a Service
- ContextualConnect Pro
- Nlp base chat app
- SolPredict
- Gait Analyzer
- Facial Recognition
- Robot Hand controlled with camera using ML
- AI ride
- Image Max
- BrainWave Diagnosis
- Telco Churn Calculator
- Movie Budget Prediction
- Thrift Taste
- Bold Pilot
- ChatGpt system using Docker
- apina.io
- Honeypot the Bot!
- Zero-Shot Stochastic Byte Generator
- FinApp Chatbot - Revolutionising Business Intelligence
- MovieManch
- Labophase
- ION Linux Distribution
- Pet Me
- SEAMATE
- MindScribe
- Metacare.AI
- TerraSaan
| Navan: Computer Vision AI | The GenAI Stack - from zero to database-backed Support Bot |
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| Building a Petabyte-Scale Vector Store: Powering Future AGI | Docker AI/ML Hackathon: Introduction |
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| Docker AI/ML Hackathon: Submitting your hack | Create your own Docker Extension |
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| Docker Hub APIs | Docker announces Generative AI Stack - DockerCon 2023 |
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| Inflight collaboration for your AI/ML stack on Docker | Docker AI/ML Hackathon WINNER ANNOUNCEMENT |
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| Lab 1 - Building and deploying a simple GenAI application | Lab 2 - Using Docker to containerize and deploy GenAI applications |
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| Lab 3 - Using Neo4j to store and manage knowledge graphs | Lab 4 - Using LangChain to integrate LLMs into Gen-AI applications |
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| Lab 5 - Using Ollama to deploy large language models | Lab 6 - Gen-AI Stack - Let’s bring it together |
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