The Generative AI Landscape provides machine-learning models, research, training resources, or evaluation tools.
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Analyzes structured data and helps produce queries, insights or visualizations.
AI landscape generated with a freeform GAN based on highway images, and further processed with a style GAN using an original charcoal drawing.
Supports teaching, studying or skills practice with AI-guided learning tools.
Works with speech, voice, music or other audio using machine-learning models.
Creates, rewrites or summarizes written content with language models.
Small models, one shared log, and a clear view of how agents behave in motion.
Deep learning based facial detector for Python coming with facial landmarks.
A Collection of Awesome Generative AI Applications.
Ebook2audiobook uses AI for speech, voice, transcription, music, or other audio workflows.
Open-source project that uses AI for speech, voice, transcription, music, or other audio workflows.
An interactive eBook that compiles an extensive collection of research papers on large language model (LLM)-based multi-agent systems.