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.

Intrinsic Dimension for Data Mining

Investigation of intrinsic dimension as a phase transition maker.

Code for the AISTATS 2026 paper: Rethinking Intrinsic Dimension Estimation in Neural Representations

Final project for 6.7960 - Deep Learning (fall 2024)

Interactive exploration of the union of manifolds hypothesis

Novel method for ID estimation based on FCI. Code related to the paper "Exploring neural manifolds across a wide range of intrinsic dimensions"

Measuring the intrinsic dimensions of reasoning manifolds in language models.

My personal implementation of several unsupervised learning algorithms.

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