We are a community-driven organization releasing open-source generative audio tools to make music production more accessible and fun for everyone.
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Hume 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.
Distribution, publishing, funding, marketing, and a hands-on team for independent artists. We.
Open-source project that uses AI for speech, voice, transcription, music, or other audio workflows.
Keenious recommends relevant academic literature based on the text you are working on. Works in Microsoft Word, Google Docs, and the browser.
KikiVoice 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.
Open-source project that uses AI for speech, voice, transcription, music, or other audio workflows.
Kokoro TTS uses AI for speech, voice, transcription, music, or other audio workflows.
Deploy and scale machine learning models on Kubernetes. Built for LLMs, embeddings, and speech-to-text.
Kyutai TTS uses AI for speech, voice, transcription, music, or other audio workflows.
LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.
Works with speech, voice, music or other audio using machine-learning models.
LazyPy uses AI for speech, voice, transcription, music, or other audio workflows.
Letterfork uses AI for speech, voice, transcription, music, or other audio workflows.
A Python implementation of a number of popular recommendation algorithms for both implicit and explicit feedback.
Tts for Lojban using VITS TTS models.
LOVO uses AI for speech, voice, transcription, music, or other audio workflows.
Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch.
"transforming the future of music creation".
Mazmazika uses AI for speech, voice, transcription, music, or other audio workflows.
Open-source governed shared memory for AI agent fleets with cross-agent recall, permissions, audit trails, and persistent memory.
Memory-oriented tooling for AI agents, focused on persistent context, recall, and more structured long-term memory behavior.