orico/PCAvsAutoencoder

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Created over 6 years ago
Updated over 6 years ago

orico/PCAvsAutoencoder

orico

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A comparison of PCA & Autoencoder (linear & non linear) in terms of dense features and clustering results.

www.mlcompendium.com

The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to expand my knowledge, it is now an open knowledge-sharing project compiled using Gitbook.

ActiveLearningFrameworkTutorial

An active learning framework, using interchangeable algorithms and sample selection functions, including experimental results on a toy data-set.

Jupyter Notebook

KernelAlgorithms

A comparison of non vs kernel algorithms, such as KDE, PCA, SVM, Kmeans

Jupyter Notebook

SpacyVsStanfordNER

A named-entity-recognition comparison between Spacy and Stanford NER using all US cities.

Jupyter Notebook

www.opscompendium.com

The Ops Compendium is a resource list for dataops, mlops, devops, etc, which I'm actively curating in order to expand my knowledge, it is now an open knowledge-sharing project compiled using Gitbook.

Brain-Voyant

A tool for classifying brain patterns from fMRI RAW DICOM data in real-time (and offline) based on machine learning methods.

UnitTestAndDecoratorLogger

Unit test and logging example for research purposes on a classification problem using the MNIST data-set

Jupyter Notebook

SVMLight_SVM2Weights

converts SVM Light's model to weights.

NLP

nlp releated notebooks

Jupyter Notebook

orico.github.io