Stars
Fast, accurate & comprehensive text measurement & layout
Open source repository of plugins primarily intended for knowledge workers to use in Claude Cowork
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
轻量、灵活、易上手的Python剪映草稿生成及导出工具，构建全自动化视频剪辑/混剪流水线。本项目的CapCut版本正于 https://github.com/GuanYixuan/pyCapCut 内开发
A fast video processing library based on node.js (一个基于node.js的高速视频制作库)
vue and ffmpeg based tool for video clips. 使用vue(vue3) + ffmpeg + wasm 实现纯前端音视频编辑，功能包括：视频剪辑、音频剪辑、音频合成裁剪、音波展示、视频抽帧、gif抽帧、帧播放器、字幕、贴图、时间轴、素材轨道
A simple screen parsing tool towards pure vision based GUI agent
📐 Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.
Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audi…
Clapper.app, a video synthesizer and sequencer designed for the age of AI cinema
[CVPR 2025] StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text
VideoSys: An easy and efficient system for video generation
MusePose: a Pose-Driven Image-to-Video Framework for Virtual Human Generation
Lumina-T2X is a unified framework for Text to Any Modality Generation
Open-Sora: Democratizing Efficient Video Production for All
A simple and efficient tool to parallelize Pandas operations on all available CPUs
MuseTalk: Real-Time High Quality Lip Synchorization with Latent Space Inpainting
Edit anything in images powered by segment-anything, ControlNet, StableDiffusion, etc. (ACM MM)
[ICCV 2023] Tracking Anything with Decoupled Video Segmentation
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.
MuseV: Infinite-length and High Fidelity Virtual Human Video Generation with Visual Conditioned Parallel Denoising
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Generative Models by Stability AI