transformers
by huggingface๐ค Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
In simple words: eqMac is a tool made for people who build software, for matching sound perfectly with video. It is completely free and open source โ its code is public on GitHub, where 6,824 people have bookmarked it as worth using.
๐ก A real-life example: You record a rough video on your phone, open it in a tool like this, remove the boring parts, and get a clean video ready to upload to YouTube.
RepoEasy wrote this simple explanation from the project's public data โ its category, topics and description โ so a beginner can understand it before downloading anything. For exact technical details, the project's own README (linked below) is the final word.
macOS System-wide Audio Equalizer & Volume Mixer ๐ง
This is the project's own description from GitHub โ we show it as-is rather than inventing details.
This project is listed under Audio Synchronization in Video & Content Creation, a category made for YouTubers, editors, streamers and content creators of every level.
Do I need coding knowledge? Coding Knowledge Recommended. (Estimate based on project type: A developer tool/library โ setup usually follows the README with basic coding skills. Always confirm from the repo's README.)
The source code is released under the Apache-2.0 license. Open-source licenses like this usually allow free use, including commercial use โ but always read the actual license file in the repository before relying on it. Note: the code being free does not mean hosted services, APIs or infrastructure around it are free.
Activity level: Active ยท Last code update: 19 Sep 2026 ยท Created: 23 Jul 2017 ยท Open issues: 85
Official links: Official Website โ ยท Releases โ ยท Documentation (README) โ
We never publish installation steps we have not verified โ the README above is the source of truth.
โญ 6824 stars ยท ๐ด 366 forks ยท ๐ 85 open issues ยท ๐ป Language: Swift ยท ๐ License: Apache-2.0 ยท Default branch: master
๐ค Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Mirror of https://git.ffmpeg.org/ffmpeg.git
VoxCPM2: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning
๐ฅ Command line media player
SRS is a simple, high-performance, AI-driven real-time media server supporting RTMP, WebRTC, HLS, HTTP-FLV, HTTP-TS, SRT, MPEG-DASH, and GB28181, with codec support for H.264,โฆ
GUI for a Vocal Remover that uses Deep Neural Networks.