Deezer source separation library including pretrained models.
- deezer
- python
- tensorflow
- audio-processing
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Deezer source separation library including pretrained models.
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.
An open source iOS framework for GPU-based image and video processing
FilmCraft: An open-source, nonlinear video editor written by scratch in pure Rust
Video editing with Python
Gradio WebUI for creators and developers, featuring key TTS (Edge-TTS, kokoro) and zero-shot Voice Cloning (E2 & F5-TTS, CosyVoice), with Whisper audio processing, YouTube download, Demucs vocal isolation, and multilingual translation.
A PyTorch-based Speech Toolkit
Audio synthesis, processing, & analysis platform for iOS, macOS and tvOS
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Self-hosted collection of powerful web-based tools for everyday tasks. No ads, no tracking, just fast, accessible utilities right from your browser!
Robust, Ubiquitous and Massively Scalable Messaging Platform (XMPP, MQTT, SIP Server)
Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
An iOS and macOS audio visualization framework built upon Core Audio useful for anyone doing real-time, low-latency audio processing and visualizations.
GPUImage 2 is a BSD-licensed Swift framework for GPU-accelerated video and image processing.
Local video editor for coding agents: 42 FFmpeg tools with a machine-readable contract and an MCP server, for Claude Code, Cursor and Codex. Cut, captions, reframe, loudness, platform exports. No cloud, no API keys.
C++ library for audio and music analysis, description and synthesis, including Python bindings
A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features :fire:
DDSP: Differentiable Digital Signal Processing
A library for audio and music analysis, feature extraction.
Data manipulation and transformation for audio signal processing, powered by PyTorch
GPUImage 3 is a BSD-licensed Swift framework for GPU-accelerated video and image processing using Metal.
Cross-platform desktop GUI app to clean image metadata
An advanced audio library, written in C#. Provides tons of features. From playing/recording audio to decoding/encoding audio streams/files to processing audio data in realtime (e.g. applying custom effects during playback, create visualizations,...). The possibilities are nearly unlimited.
A Python library for audio data augmentation. Useful for making audio ML models work well in the real world, not just in the lab.