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A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆28 knowledge distillation methods presented at TPAMI, CVPR, ICLR, ECCV, NeurIPS, ICCV, AAAI, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.

🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey

  • pointclouds
  • 3d-deep-learning
  • 3d-classification
  • 3d-detection

The Python ensemble sampling toolkit for affine-invariant MCMC

  • python
  • mcmc
  • mcmc-sampler
  • probabilistic-data-analysis

TranslatedRuiC-PoseAtlas | Dual atlas of poses + outfits: 288 sets of human poses × 5 viewing angles × 1,439 mannequin line drawings, plus 1,407 character-free outfits × 8 categories × 86 trilingual tags. Chinese/English/Japanese switching, search and filtering, keyboard browsing, original image download, purely static with zero dependencies.

  • 3d-modeling
  • ai-art
  • art-reference
  • gallery

[CVPR 2023] Official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation"

  • instance-segmentation
  • object-detection
  • panoptic-segmentation
  • semantic-segmentation