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@aiml-au

Australian Institute for Machine Learning

README.md

The Australian Institute for Machine Learning

This GitHub is maintained by the AIML Engineering team. Please report any issues for projects via the GitHub Issues area.

AIML Shop Projects

AIML Shop is a Center for Augmented Reasoning initiative.

Any Track

Track markers on anything using multiple views.

Class Tree

Improve hierarchical classifiers using a class hierarchy.

Seg Mesh

GPU-accelerated NN segmentation of 3D meshes and models.

Noisy Labels

Improve your data labels using Label Studio and this plugin.

Need access to a private AIML repo?

Please email "admins (at) aiml (dot) team" and provide details of your organization, existing GitHub account, and the repo that you wish to access (please CC your supervisor).

Popular repositories

  1. segmesh segmesh Public

    A fast CUDA-accelerated (GPU) method that uses novel mesh convolutions (spherical harmonics) and neural networks (machine learning/NN) for efficient scene segmentation.

    Python 2

  2. classtree classtree Public

    Classtree is a hierarchical classifier for images or text.

    Python 1

  3. .github .github Public

  4. anytrack anytrack Public

    AnyTrack : Key-point detection with sparse annotations using mutiple views

    Jupyter Notebook

  5. noisylabels noisylabels Public

    A Label Studio plugin with InstanceGM for improving data labels for machine learning with machine learning

    Python

Repositories

Showing 5 of 5 repositories
  • .github Public
    0 0 1 0 Updated May 8, 2024
  • classtree Public

    Classtree is a hierarchical classifier for images or text.

    Python 1 0 0 0 Updated Apr 22, 2024
  • noisylabels Public

    A Label Studio plugin with InstanceGM for improving data labels for machine learning with machine learning

    Python 0 0 0 0 Updated Feb 15, 2024
  • anytrack Public

    AnyTrack : Key-point detection with sparse annotations using mutiple views

    Jupyter Notebook 0 0 0 0 Updated Jan 29, 2024
  • segmesh Public

    A fast CUDA-accelerated (GPU) method that uses novel mesh convolutions (spherical harmonics) and neural networks (machine learning/NN) for efficient scene segmentation.

    Python 2 0 1 0 Updated Jan 29, 2024

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