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Vibe-Research: Your Personal Trading Research Agent · A股/美股/港股 的个人投研 Agent：每日复盘、资讯雷达、个股数据、板块中心、我的持仓、研究记录。Vibe-Research 把数据和功能配齐，由你自己的 AI 驱动投资研究。
US stock market data for AI coding assistants — zero-auth, official sources. CBOE options with full Greeks + 0DTE flow, FINRA market-wide short volume, SEC EDGAR filing stream, and a free market-wi…
A股全栈数据工具包 · 10层架构 · 43端点(含3官方备胎) · 15数据源 · 行情/研报/资金面/筹码/公告/打板/ETF期权/舆情互动全覆盖+备用源降级 | China A-Share full-stack data toolkit (43 endpoints)
AI-native stock screening engine with full-market discovery, LLM ranking, risk-aware scoring, and auditable evaluation. AI选股
LLM 驱动的多市场股票智能分析系统：多源行情、实时新闻、决策看板与自动推送，支持零成本定时运行。 LLM-powered multi-market stock analysis system with multi-source market data, real-time news, decision dashboard, automated notifications, and cost…
SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer
A general fine-tuning kit geared toward image/video/audio diffusion models.
(CVPR 2025) From Slow Bidirectional to Fast Autoregressive Video Diffusion Models
Official Repo of "Flow-OPD: On-Policy Distillation for Flow Matching Models"
🎙️ 「大模型」从0训练0.1B能听能说能看的全模态Omni模型！A 0.1B Omni model trained from scratch, capable of listening, speaking, and seeing!
SenseNova-U series: Native Unified Paradigm with NEO-unify from the First Principles
[Official Repo] SpatialEdit: Benchmarking Fine-Grained Image Spatial Editing
TradingAgents-A Share Edition` is a derivative open-source implementation based on [TradingAgents](https://github.com/TauricResearch/TradingAgents?tab=readme-ov-file), focused on China A-share rese…
A 股多智能体智能投研系统 — 基于 TradingAgents 架构，15 名 AI Agent 模拟机构协作与实时辩论对抗，全流程可视化，支持 OpenClaw / Claude Code 集成，Docker 一键部署。
基于多智能体协作的中国基金市场智能分析系统与智能管家--A smart analysis system and smart manager for the Chinese fund market based on multi-agent collaboration.
TradingAgents: Multi-Agents LLM Financial Trading Framework
JoyAI-Image is the unified multimodal foundation model for image understanding, text-to-image generation, and instruction-guided image editing.
[ICML 2026][Ultra Powerful Few-Step Diffusion RL] TDM-R1: Reinforcing Few-Step Diffusion Models with Non-Differentiable Reward
🦸 AI 编程超能力 · 中文增强版 — superpowers（116k+ ⭐）完整汉化 + 6 个中国原创 skills，让 Claude Code / Copilot CLI / Hermes Agent / Cursor / Windsurf / Kiro / Gemini CLI 等 16 款 AI 编程工具真正会干活
[ICLR 2026] Official repo of paper "Reconstruction Alignment Improves Unified Multimodal Models". Unlocking the Massive Zero-shot Potential in Unified Multimodal Models through Self-supervised Lear…
Official implementation code of the paper <AnyText: Multilingual Visual Text Generation And Editing>
[NeurIPS 2025] An official implementation of Flow-GRPO: Training Flow Matching Models via Online RL