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A comprehensive code for AI & Robotics.

Python 99.95% Shell 0.05%
dense-object-nets keypointnet manifold-optimization multihead-self-attention position-embedding pydantic python3 pytorch-implementation pytorch-lightning transfomers

heimdall's Introduction

Heimdall

A comprehensive code repository for AI & Robotics.

Contents

Bound to a long term development. Below is the list of present contents:

  • Datatypes (Pydantic based):

    • Camera Intrinsic & Extrinsic
    • Image
    • Pose (SE3 & SO3)
  • PyTorch-Lightning Templates:

    • Trainer
    • MLP
    • Dataloader
  • Distances:

    • SO3 & SE3 manifold distances
  • Pointcloud:

    • Furthest point sampling
    • Ball query
  • Robotics:

    • Stable inverse jacobian
    • Planar & geodesic trajectory generation
  • Transformers:

    • Upto 3D-Rotatory position embeddings
    • Temporal-Image patch embedder
    • Fast multi-head pooling attention module (MHA / MHPA)
    • For Vision: ViT, MViT-v2 (auto-adaptable)
    • For Video : MViT-v2
  • Visual object generalization:

    • Dense Object Nets (DON)
    • KeypointNet

heimdall's People

Contributors

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