Fast, GPU-friendly, differentiable computation of Intrinsic Dimension via Maximum Likelihood, the TwoNN algorithm, and everything in between!

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  • License: MIT License (MIT)
  • Author: Emanuele Ballarin
  • Tags Deep Learning, Differentiable Programming, Intrinsic Dimension, Machine Learning, Manifold Learning, Maximum Likelihood Estimation, PyTorch, TwoNN
  • Requires: Python >=3.10
  • Provides-Extra: faiss-cpu, faiss-gpu-newer-cu11, faiss-gpu-newer-cu12, faiss-gpu-older, keops
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fastwonn

Fast, GPU-friendly, differentiable computation of Intrinsic Dimension via Maximum Likelihood (Levina & Bickel, 2004), the TwoNN algorithm (Facco et al., 2017), and everything in between!

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Meta
  • License: MIT License (MIT)
  • Author: Emanuele Ballarin
  • Tags Deep Learning, Differentiable Programming, Intrinsic Dimension, Machine Learning, Manifold Learning, Maximum Likelihood Estimation, PyTorch, TwoNN
  • Requires: Python >=3.10
  • Provides-Extra: faiss-cpu, faiss-gpu-newer-cu11, faiss-gpu-newer-cu12, faiss-gpu-older, keops
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