機械学習 · GitHub

手の姿勢推定・トラッキングに関する優れた研究・実装

Code and Data Release for GenRe (NeurIPS 2018) and ShapeHD (ECCV 2018)

[TensorFlow] Official implementation of CVPR'20 oral paper - D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features https://arxiv.org/abs/2003.03164

Python package for segmenting LiDAR data using Segment-Anything Model (SAM) from Meta AI.

Pure PyTorch Implementation of NVIDIA paper on Instant Training of Neural Graphics primitives: https://nvlabs.github.io/instant-ngp/

[AAAI2024] FontDiffuser: One-Shot Font Generation via Denoising Diffusion with Multi-Scale Content Aggregation and Style Contrastive Learning

• We propose FontDiffuser, which can generate unseen characters and styles and can be extended to cross-lingual generation, such as Chinese to Korean.
• FontDiffuser excels in generating complex characters and handling large style variations. And it achieves state-of-the-art performance.

Revisiting Pre-trained Models for Chinese Natural Language Processing (MacBERT)

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

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

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。