Distance-based Analysis of DAta-manifolds in python
-
Updated
Dec 5, 2025 - 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
Investigation of intrinsic dimension as a phase transition maker.
Intrinsic Dimension for Data Mining
Computing Local Intrinsic Dimensions (LID) to detect Grokking of Transformers.
Final project for 6.7960 - Deep Learning (fall 2024)
My personal implementation of several unsupervised learning algorithms.
🔒 Secure your sensitive files with Dada's advanced AES-256 encryption, self-destruct features, and intuitive interface for effortless data protection.
Add a description, image, and links to the intrinsic-dimension topic page so that developers can more easily learn about it.
To associate your repository with the intrinsic-dimension topic, visit your repo's landing page and select "manage topics."