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ThemeKit is an open source Linux, macOS, or Unix resource with code, tools, or setup notes.
Themes is an open source Linux, macOS, or Unix resource with code, tools, or setup notes.
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Thesecondopinion is a code project with source, releases, documentation, or setup notes.
A self-hosted copilot clone that uses the library behind llama.cpp to run the 6 billion parameter Salesforce Codegen model in 4 GB of RAM.
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.
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.
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.
Open-source project that uses AI for speech, voice, transcription, music, or other audio workflows.
Speech recognition toolkit with streaming ASR, VAD, punctuation, speaker diarization, and OpenAI-compatible serving for voice AI applications.
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.
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.
Open-source project that uses AI for speech, voice, transcription, music, or other audio workflows.
On-device voice dictation for macOS — transcribes a 5-minute clip in 2.8 s; noise-robust, paste at cursor. 99 languages, ~8 MB, no telemetry. MIT.
Open-source project that uses AI for speech, voice, transcription, music, or other audio workflows.
Works with speech, voice, music or other audio using machine-learning models.