Aprendizaje automático · GitHub

🦓 AI-powered OpenStreetMap tool for importing zebra crossings

Concrete ML: Privacy Preserving ML framework using Fully Homomorphic Encryption (FHE), built on top of Concrete, with bindings to traditional ML frameworks.

• Built-in models: Ready-to-use FHE-friendly models with a user interface that is equivalent to their the scikit-learn and XGBoost counterparts
• Customs models: Concrete ML supports models that can use quantization-aware training. These are developed by the user using PyTorch or keras/tensorflow and are imported into Concrete ML through ONNX

SFML is the first fully local AI solar forecast for Home Assistant, powered by a local Attention Transformer. No external AI — such as ChatGPT, Gemini, or Grok — required. Runs entirely on your device for complete privacy.

• The forecast - Hourly for 72 hours, learned from your roof: shading, local weather, panel groups — and forecast quality is measured, not claimed.
• Smart Charge - Charges the battery from the grid when electricity is cheap and the sun will not be enough — and leaves room for solar power otherwise.

MobileNet build with Tensorflow

🔥🔥Biblioteca de reconocimiento facial de alto rendimiento basada en PaddlePaddle y PyTorch🔥🔥

😎 Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库

[ultralytics v8.3.75][yolov8/yolo11-pose][WIDER FACE]Upgrade YOLO5Face to YOLO8Face and YOLO11Face

A comprehensive list of Implicit Representations and NeRF papers relating to Robotics/RL domain, including papers, codes, and related websites

Una tarea de restauración de imágenes mediante aprendizaje automático que elimina intuitivamente las marcas de agua y genera imágenes indistinguibles de la imagen de referencia real.