Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
-
Updated
Jan 6, 2026 - Python
#
ai-application-development
Here are 7 public repositories matching this topic...
MONAI Deploy aims to become the de-facto standard for developing, packaging, testing, deploying and running medical AI applications in clinical production.
python machine-learning ai deep-learning inference dicom pytorch healthcare medical-imaging fhir guidelines radiology pathology open-standard mlops ml-platform monai ai-application-development ai-application-deployment
-
Updated
Mar 26, 2025 - Shell
The open source, AI-powered app builder
editor macos dart open-source app ui oss ai flutter app-builder ui-editor flutter-ui flutter-app ai-chatbot ai-application-development ai-builder
-
Updated
Dec 10, 2025 - Dart
Declarative YAML-based AgentOps framework for building composable AI agents
-
Updated
Oct 5, 2025 - Python
An AI app template
-
Updated
Apr 14, 2024 - Rust
This repository will be used for the code in the deeplearning.ai course for LangChain
natural-language-processing ai-frameworks ai-application-development large-language-models prompt-engineering generative-ai langchain llm-application-development
-
Updated
Jan 16, 2025 - Jupyter Notebook
A single most valuable resource for the "Artificial Intelligence Driven Development to Build Applications with Human in the Loop" , the resource will host all step by step foundations for anyone to start building with AI by leveraging various models, tools, techniques and more.
-
Updated
Sep 1, 2025
Improve this page
Add a description, image, and links to the ai-application-development topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the ai-application-development topic, visit your repo's landing page and select "manage topics."