#python #deep_learning #machine_learning #machine_learning_tutorials #pytorch #pytorch_ignite #scikit_learn #sklearn #streamlit #template #tensorflow #webapp #website
https://github.com/jrieke/traingenerator
https://github.com/jrieke/traingenerator
GitHub
GitHub - jrieke/traingenerator: 🧙 A web app to generate template code for machine learning
🧙 A web app to generate template code for machine learning - jrieke/traingenerator
#python #deployment #faas #fastapi #functions #machine_learning #microservices #pydantic #python_functions #serverless #streamlit #type_hints
https://github.com/ml-tooling/opyrator
https://github.com/ml-tooling/opyrator
GitHub
GitHub - ml-tooling/opyrator: 🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.
🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more. - ml-tooling/opyrator
#python #app #art #cartography #geography #map #osm #prettymaps #streamlit
https://github.com/chrieke/prettymapp
https://github.com/chrieke/prettymapp
GitHub
GitHub - chrieke/prettymapp: 🖼️ Create beautiful maps from OpenStreetMap data in a streamlit webapp
🖼️ Create beautiful maps from OpenStreetMap data in a streamlit webapp - chrieke/prettymapp
#python #agents #langgraph #streamlit
This toolkit helps you build and run your own AI agent service easily. It uses LangGraph, FastAPI, and Streamlit to create a complete setup from defining the agent to a user-friendly chat interface. You can customize the agents, use multiple agents, and even deploy it with Docker for easy development. The toolkit includes features like content moderation, advanced streaming, and a feedback system, making it robust and efficient. This makes it simpler for you to get started with building your own AI agents without starting from scratch.
https://github.com/JoshuaC215/agent-service-toolkit
This toolkit helps you build and run your own AI agent service easily. It uses LangGraph, FastAPI, and Streamlit to create a complete setup from defining the agent to a user-friendly chat interface. You can customize the agents, use multiple agents, and even deploy it with Docker for easy development. The toolkit includes features like content moderation, advanced streaming, and a feedback system, making it robust and efficient. This makes it simpler for you to get started with building your own AI agents without starting from scratch.
https://github.com/JoshuaC215/agent-service-toolkit
GitHub
GitHub - JoshuaC215/agent-service-toolkit: Full toolkit for running an AI agent service built with LangGraph, FastAPI and Streamlit
Full toolkit for running an AI agent service built with LangGraph, FastAPI and Streamlit - JoshuaC215/agent-service-toolkit