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.
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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!
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.
A GPU accelerated image and video processing framework built on Metal.