An early look our AI Music experiment - YouTube Blog uses AI for speech, voice, transcription, music, or other audio workflows.
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Google Flow Music uses AI for speech, voice, transcription, music, or other audio workflows.
Img To Music uses AI for speech, voice, transcription, music, or other audio workflows.
A curated list of tools and resources for building production RAG systems.
We are a community-driven organization releasing open-source generative audio tools to make music production more accessible and fun for everyone.
Works with speech, voice, music or other audio using machine-learning models.
A curated list of AI tools for music composition, generation, and analysis.
Easy way to create royalty free music.
A simple notebook demonstrating prompt-based music generation via Mubert API.
Examples for ICASSP2024 paper “StemGen: A music generation model that listens”.
Discover, create, and share music with the world. Use the latest technology to create AI music in seconds.
Open-source infrastructure for AI backends. Kubernetes for orchestration, Okta for identity—production-ready from day one.
The open-source platform to build AI apps that deliver reliable answers. Production-grade RAG in minutes, no expertise needed.
Platform for Production Data Science.
Astria creates ecommerce visuals and headshot products with AI image production tools.
Curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning.
Supports workplace tasks, documents, meetings or business operations with AI.
I work to bring AI into production. I write about AI system design.
Open-source tool that lets you package ML models in a standard, production-ready container.
Deploy, manage, and scale machine learning models in production.
Run AI products in production with a unified stack for agents, inference, and cloud—built for control, performance, and economics at scale.
Interactive reports to analyze ML models during validation or production monitoring.
Federated Learning - The Production AI Platform for Federated Learning at Scale.
Recover from infra and code failures, orchestrate dynamic workflows, scale to production.