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This Python-based REST API delivers energy simulation data for the “Energieautarkes Wohnquartier” project. It provides both precomputed results for various building and system configurations, as well as real-time predictions using a machine learning model trained on over 3,300 high-fidelity SimulationX simulations.

The API can be used alongside the separately developed React/Three.js frontend to enable real-time evaluation of user-defined scenarios. Deterministic simulations and ML-based regression are combined to ensure fast and accurate responses, even for previously unseen configurations.

Implementation des KERN Design-Systems in CSS/HTML. Probleme bitte hier melden.

Implementation des KERN Design-Systems in CSS/HTML.

This project provides a Dockerized setup for running Ollama as a local LLM service with GPU support. It includes a pre-configured Docker Compose setup, automated model management, and support for multiple LLM models like llama3.1 (chat) and snowflake-arctic-embed2 (embeddings). The container exposes an API for interacting with models via CLI or HTTP requests. Configuration is handled via .env, allowing easy customization. Designed for quick deployment, this setup serves as a flexible starting point for integrating local AI models.

This Repository contains the technical specifications for the Messaging Building Block.

Registration Building Block for GovStack

The Workflow Engine Building Block for GovStack