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The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

  • open-vocabulary-detection
  • open-vocabulary-segmentation
  • data-generation
  • automatic-labeling-system

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.

How to systematically secure anything: a repository about security engineering

  • security-engineering
  • security-architecture
  • secure-systems
  • threat-modeling

[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

Translated🦄🦄🦄AI-empowered stock analysis: an AI-powered stock analysis/stock selection tool. Fetches stock quotes, AI analysis of hot news, AI analysis of funds/financials, and push alerts for price rises and falls. Supports A-shares, Hong Kong stocks, and US stocks. Supports overall market/individual stock sentiment analysis, AI-assisted stock selection, and more. All data stays local. Supports platforms or models such as DeepSeek, OpenAI, Ollama, LMStudio, AnythingLLM, 硅基流动 (SiliconFlow), 火山方舟 (Volcano Ark), and 阿里云百炼 (Alibaba Cloud Bailian).

  • stock
  • golang
  • naiveui
  • wails