curse-of-dimensionality

Here are 9 public repositories matching this topic...

jecampagne / cours_mallat_cdf

Lecture notes of Professor Stéphane Mallat - Collège de France - Paris

deep-neural-networks math markov-chain approximation convolutional-neural-networks bayesian-inference gaussian-processes svm-model fourier-transform scattering-transform wavelet-transform fisher-information shannon-entropy regularity curse-of-dimensionality orthogonal-basis

Updated Jan 20, 2026
Jupyter Notebook

Devinterview-io / curse-of-dimensionality-interview-questions

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🟣 Curse Of Dimensionality interview questions and answers to help you prepare for your next machine learning and data science interview in 2026.

data-science machine-learning interview-practice coding-interviews interview-preparation technical-interview-questions machine-learning-interview data-science-interview data-scientist-interview software-engineer-interview curse-of-dimensionality data-science-interview-questions coding-interview-questions machine-learning-interview-questions ai-interview-questions machine-learning-and-data-science curse-of-dimensionality-interview-questions curse-of-dimensionality-questions curse-of-dimensionality-tech-interview

Updated Jan 4, 2026

sandipanpaul21 / Dimensionality-Reduction-in-Python

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Dimensionality Reduction technique in machine learning both theory and code in Python. Includes topics from PCA, LDA, Kernel PCA, Factor Analysis and t-SNE algorithm

python correlation pca dimensionality-reduction lda factor-analysis tsne-algorithm tsne principal-component-analysis curse-of-dimensionality

Updated Dec 13, 2021
Jupyter Notebook

andrea-dimarco / high-dimensional-space-anomaly-detection

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Anomaly detection in high dimensional spaces.

high-dimensional-data anomaly-detection mission-critical curse-of-dimensionality

Updated Jan 30, 2024
Python

Practical notebooks on responsible and trustworthy AI: dimensionality, validation, adversarial attacks, COMPAS fairness, probability calibration and explainability. Built with Python, scikit-learn, XGBoost, ART and TabPFN.