機械学習 · 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動画を、文字起こし、バイリンガル翻訳、AIによる概要、解説、ノートを備えた充実した学習教材に変換します。キーはご自身で用意してください。

MobileNet build with Tensorflow

🔥🔥PaddlePaddleとPyTorchに対応した高性能な顔認識ライブラリ🔥🔥

😎 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

画像から直感的にウォーターマークを除去し、グラウンドトゥルース画像と見分けがつかない結果を生成する機械学習による画像インペインティングタスク。