머신러닝 · 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.

YouTube 동영상을 자막, 이중 언어 번역, AI 개요, 설명, 노트가 포함된 심층 학습 자료로 변환합니다. 키는 직접 준비해야 합니다.

MobileNet build with Tensorflow

🔥🔥PaddlePaddle 및 PyTorch 기반 고성능 얼굴 인식 라이브러리🔥🔥

😎 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

이미지에서 직관적으로 워터마크를 제거해 정답 이미지와 구분할 수 없는 결과를 생성하는 머신러닝 이미지 인페인팅 작업입니다.