Distance-based Analysis of DAta-manifolds in python
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Updated
Jun 9, 2026 - Python
Distance-based Analysis of DAta-manifolds in python
This repo contains code for GeoMLE intrinsic dimension estimation algorithm
[ICLR 2024] Easy tools for measuring the label sharpness and intrinsic dimension of datasets and learned representations, which relate to model generalization and robustness.
Code implementing the paper "Measuring intrinsic dimension of objective landscapes" to perform some research
(MICCAI 2022) Code for "The Intrinsic Manifolds of Radiological Images and their Role in Deep Learning" (intrinsic dimensions)
Investigating embedding spaces generated by language models from a topological perspective via local intrinsic dimension (LID).
Code related to my MSc thesis
Computing Local Intrinsic Dimensions (LID) to detect Grokking of Transformers.
Code for the AISTATS 2026 paper: Rethinking Intrinsic Dimension Estimation in Neural Representations
Intrinsic Dimension for Data Mining
Measuring the intrinsic dimensions of reasoning manifolds in language models.
Final project for 6.7960 - Deep Learning (fall 2024)
Novel method for ID estimation based on FCI. Code related to the paper "Exploring neural manifolds across a wide range of intrinsic dimensions"
Interactive exploration of the union of manifolds hypothesis
Investigation of intrinsic dimension as a phase transition maker.
My personal implementation of several unsupervised learning algorithms.
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