Stars
A next.js web application that integrates AI capabilities with draw.io diagrams. This app allows you to create, modify, and enhance diagrams through natural language commands and AI-assisted visual…
Go/React开发的端到端webrtc的文件传输/文字传输/桌面共享，安全，隐私，数据不经过服务器。
Instantly generate AI-powered subtitles on your device. Works standalone or connects to DaVinci Resolve.
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3, Qwen3-MoE, DeepSeek-R1, GLM4.5, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM4.5v, Llava, …
An official implementation of "Decoupled Multimodal Distilling for Emotion Recognition" in PyTorch. (CVPR 2023 highlight)
An open-source, cross-platform terminal for seamless workflows
An open-source implementaion for fine-tuning Qwen-VL series by Alibaba Cloud.
Official inference repo for FLUX.2 models
Personal AI Notebooks. Organize files & webpages and generate notes from them. Open source, local & open data, open model choice (incl. local).
[AAAI 2023] Exploring CLIP for Assessing the Look and Feel of Images
Wan: Open and Advanced Large-Scale Video Generative Models
SkyReels-A2: Compose anything in video diffusion transformers
SkyReels-A1: Expressive Portrait Animation in Video Diffusion Transformers
High-Resolution 3D Assets Generation with Large Scale Hunyuan3D Diffusion Models.
Generating Immersive, Explorable, and Interactive 3D Worlds from Words or Pixels with Hunyuan3D World Model
(NeurIPS 2024 Oral 🔥) Improved Distribution Matching Distillation for Fast Image Synthesis
Stock Backtrader Web App 是一个基于 Python 的项目，旨在简化股票回测和分析的过程。通过集成四个强大的库——Streamlit、AkShare、Backtrader 和 Pyecharts，本应用为用户提供了一个综合性的工具集，支持股票数据获取、回测模拟和结果可视化，且所有功能都在一个直观的 Web 界面内完成。
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
Directly Aligning the Full Diffusion Trajectory with Fine-Grained Human Preference
HunyuanImage-3.0: A Powerful Native Multimodal Model for Image Generation
Enjoy the magic of Diffusion models!
Official Repository of "OmniTry: Virtual Try-On Anything without Masks"
Reference PyTorch implementation and models for DINOv3