TranslatedA Simple and Universal Swarm Intelligence Engine, Predicting Anything.
- agent-memory
- financial-forecasting
- future-prediction
- knowledge-graph
Repository Index
76,356 visible repositories in the index
1–24 of 60 · Most stars
Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
- ultralytics
- yolov8
- yolo
- deep-learning
"CLI-Anything: Making ALL Software Agent-Native" -- CLI-Hub: https://clianything.cc/
"RAG-Anything: All-in-One RAG Framework"
- multi-modal-rag
- retrieval-augmented-generation
Question and Answer based on Anything.
The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
- monocular-depth-estimation
Fast Segment Anything
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
- depth-estimation
- image-synthesis
- metric-depth-estimation
- monocular-depth-estimation
TranslatedZenless Zone Zero One Dragon | Fully automatic | Auto dodge | Auto daily tasks | Auto Hollow | Controller support
🐸 Identify anything. pyWhat easily lets you identify emails, IP addresses, and more. Feed it a .pcap file or some text and it'll tell you what it is! 🧙♀️
- cyber
- security
- hacking
- cybersecurity
Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"
Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.
- segment-anything
- video-object-segmentation
- interactive-tracking
- track-anything
Depth Anything 3
Claude Skill: Multi-source content processor for NotebookLM. Supports WeChat articles, web pages, YouTube, PDF, Markdown, search queries → Podcast/PPT/MindMap/Quiz etc.
- automation
- claude
- mcp
- notebooklm
PathPicker accepts a wide range of input -- output from git commands, grep results, searches -- pretty much anything. After parsing the input, PathPicker presents you with a nice UI to select which files you're interested in. After that you can open them in your favorite editor or execute arbitrary commands.
Align Anything: Training All-modality Model with Feedback
- large-language-models
- multimodal
- rlhf
- chameleon
TranslatedAI Vtuber is a virtual streamer [Live2D/UE/xuniren] powered by [ChatterBot/ChatGPT/claude/langchain/chatglm/text-gen-webui/闻达 (Wenda)/千问 (Qianwen)/kimi/ollama]. It can interact with viewers in real time in live streams on [Bilibili/抖音 (Douyin)/快手 (Kuaishou)/微信视频号 (WeChat Channels)/拼多多 (Pinduoduo)/斗鱼 (Douyu)/YouTube/twitch/TikTok], or chat directly on the local machine. It uses TTS technology [edge-tts/VITS/elevenlabs/bark/bert-vits2/睿声 (Ruisheng)] to generate replies and can optionally change the voice with [so-vits-svc/DDSP-SVC]; commands work together with SD to draw images.
One 8 KB skill that replaces REA (Reverse Engineer Anything): plain CLI tools, no MCP. Benchmarked: 38% faster, 35% cheaper.
A large model-based chatbot builder that can quickly integrate AI models (including ChatGPT, Claude, Gemini) into various software applications (such as Telegram, Gmail, Slack, and websites).
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
- artificial-intelligence
- deep-learning
- machine-learning
- segmentation
MapAnything: Universal Feed-Forward Metric 3D Reconstruction
- 3d-reconstruction
- ai
- calibration
- depth-completion
An AI-powered web suite for advanced image processing and generation. VisioCraft integrates state-of-the-art computer vision models; including YOLO, SAM, and LaMa; to provide seamless object extraction, content-aware fill, and image generation through an interactive canvas UI.
- ai-tools
- clean-architecture
- computer-vision
- generative-ai
The repository provides code for running inference with the Meta Segment Anything Audio Model (SAM-Audio), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.