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🦄🦄🦄AI赋能股票分析:AI加持的股票分析/选股工具。股票行情获取,AI热点资讯分析,AI资金/财务分析,涨跌报警推送。支持A股,港股,美股。支持市场整体/个股情绪分析,AI辅助选股等。数据全部保留在本地。支持DeepSeek,OpenAI, Ollama,LMStudio,AnythingLLM,硅基流动,火山方舟,阿里云百炼等平台或模型。
一个基于nano banana pro🍌的原生AI PPT生成应用,迈向真正的"Vibe PPT"; 支持上传任意模板图片;上传任意素材&智能解析;一句话/大纲/页面描述自动生成PPT;口头修改指定区域、一键导出 - An AI-native PPT generator based on nano banana pro🍌
"Paper2Slides: From Paper to Presentation in One Click"
Templates and workflow for generating PRDs, Tech Designs, and MVP and more using LLMs for AI IDEs
[CVPR 2025] "A Distractor-Aware Memory for Visual Object Tracking with SAM2"
This script allows you to download VS Code extensions as VSIX files directly from the Visual Studio Marketplace.
🔥 Latest advances in Video Object Segmentation (VOS) – papers, datasets, and projects.
[ICLR 2025 Oral🔥] SD-LoRA: Scalable Decoupled Low-Rank Adaptation for Class Incremental Learning
Official code for our ICCV2025 paper "SDMatte: Grafting Diffusion Models for Interactive Matting"
Reference PyTorch implementation and models for DINOv3
Official code for ReLoRA from the paper Stack More Layers Differently: High-Rank Training Through Low-Rank Updates
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
Instant voice cloning by MIT and MyShell. Audio foundation model.
The official repository of the dots.vlm1 instruct models proposed by rednote-hilab.
A Survey on Benchmarks of Multimodal Large Language Models
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
[TPAMI 2026 & ICML 2024 Oral] Official repository of the SparseTSF paper: "SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters". This work is developed by the Lab of Professor …
Tongyi Deep Research, the Leading Open-source Deep Research Agent
[CVPR'25 Oral] LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
Implementation of "Rapid Salient Object Detection with Difference Convolutional Neural Networks"
TradingAgents: Multi-Agents LLM Financial Trading Framework
The official implementation of [CVPR 2025] "5%>100%: Breaking Performance Shackles of Full Fine-Tuning on Visual Recognition Tasks".