BudgetML is a tool for deploying a machine learning inference service to a secured HTTPS API endpoint with less than 10 lines of code. It runs the model on a Google Cloud Platform preemptible instance, generates a FastAPI server endpoint, and provides interactive Swagger docs. The project states that the library is not being actively maintained.
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Web framework to create vertical AI agents. FastAPI based, plugin system inspired to WordPress, admin panel, vector DB included.
FastAPI framework to build production-grade LLM applications.
An archived, read-only repository that provided a way to deploy LangChain apps using Jina and FastAPI, wrapping apps as services on Jina AI Cloud. The README notes the project is no longer maintained and that it could deploy apps on a user's own infrastructure.
A self-hosted proxy providing OpenAI and Anthropic compatible API endpoints for multiple LLM providers, so existing applications can use any supported provider through a single API key. It includes a FastAPI proxy application and a reusable Python resilience library for API key management, rotation, and failover.
Machine Learning Zoomcamp is a free, hands-on course on building, evaluating, and deploying machine learning systems. It covers the path from framing a problem to preparing data, training and evaluating models, and deploying them, using Python, scikit-learn, TensorFlow, PyTorch, FastAPI, Docker, Kubernetes and AWS Lambda. No prior machine learning experience is required.