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https://adongwanai.github.io/AgentGuide | AI Agent开发指南 | LangGraph实战 | 高级RAG | 转行大模型 | 大模型面试 | 算法工程师 | 面试题库 | 强化学习｜数据合成
Zero-Config Code Flow for Claude code & Codex
LLM API 管理 & 分发系统，支持 OpenAI、Azure、Anthropic Claude、Google Gemini、DeepSeek、字节豆包、ChatGLM、文心一言、讯飞星火、通义千问、360 智脑、腾讯混元等主流模型，统一 API 适配，可用于 key 管理与二次分发。单可执行文件，提供 Docker 镜像，一键部署，开箱即用。LLM API management & k…
🚀「Douyin_TikTok_Download_API」是一个开箱即用的高性能异步抖音、快手、TikTok、Bilibili数据爬取工具，支持API调用，在线批量解析及下载。
An AI-powered task-management system you can drop into Cursor, Lovable, Windsurf, Roo, and others.
FakeInversion: Learning to Detect Images from Unseen Text-to-Image Models by Inverting Stable Diffusion
Official implementation for "Diffusion Model is Secretly a Training-free Open Vocabulary Semantic Segmenter"
Code for Stable Control Representations
This repository maintains a collection of important papers on conditional image synthesis with diffusion models (Survey Paper published in TMLR2025)
AI Research Platform for Reinforcement Learning from Real Panoramic Images.
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)
[NeurIPS'23] Emergent Correspondence from Image Diffusion
[AAAI 2024]Weakly Supervised Multimodal Affordance Grounding for Egocentric Images
High-Resolution Image Synthesis with Latent Diffusion Models
Create a Gephi Citation Graph based on Text Analysis of PDFs from Zotero
One-Shot Open Affordance Learning with Foundation Models (CVPR 2024)
Official PyTorch Implementation of Learning Affordance Grounding from Exocentric Images, CVPR 2022
Granularity-Aware Affordance Understanding from human-object interaction for Dexterous Robotic Functional Grasping
openvla / openvla
Forked from TRI-ML/prismatic-vlmsOpenVLA: An open-source vision-language-action model for robotic manipulation.
Official PyTorch implementation of EgoChoir: Capturing 3D Human-Object Interaction Regions from Egocentric Views
An implementation of NLMap with additional utilities for integration with Boston Dynamics Spot
A curated list of the most impressive AI papers