2 Repos
Awesome GitHub RepositoriesApplication Showcases
Curated lists of real-world implementations and software built using specific technologies.
Distinguishing note: Focuses on end-user applications rather than the underlying model development tools.
Explore 2 awesome GitHub repositories matching artificial intelligence & ml · Application Showcases. Refine with filters or upvote what's useful.
Awesome Application Showcases GitHub Repositories
Finde die besten Repos mit KI.Wir suchen mit KI nach den am besten passenden Repositories.
- hannibal046/awesome-llm
Hannibal046/Awesome-LLM
26,933Auf GitHub ansehenThis project serves as a comprehensive, static directory of external resources dedicated to the study and application of large language models. It functions as a centralized discovery point for developers and researchers, aggregating foundational academic papers, technical documentation, and specialized tools within a structured, version-controlled knowledge base. The repository distinguishes itself through a multi-level classification system that organizes diverse technical domains, ranging from model training frameworks and inference optimization to AI safety and hallucination detection. By
LLM Applications — a named example documented in this learning resource.
- jack-cherish/pythonpark
Jack-Cherish/PythonPark
11,218Auf GitHub ansehenPythonPark is a comprehensive repository serving as a centralized educational resource for mastering Python programming, machine learning, and artificial intelligence. It functions as a structured curriculum that aggregates study materials, coding challenges, and technical roadmaps designed to guide developers through foundational software engineering concepts and advanced intelligence technologies. The project distinguishes itself by providing hands-on implementation guides that allow users to execute artificial intelligence models directly on their local hardware. By focusing on local execu
Showcases practical open-source experiments and applications in computer vision, voice synthesis, and generative models.
Pythondeep-learningdeeplearningpython
