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alibi

Algorithms for explaining machine learning models

cbr-lime

deepgaze

Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.

example_repo

An example repo for learning purposes

explainable_ai_sdk

This is an SDK for Google Cloud Explainable AI service. Explainable AI SDK helps users build explanation metadata for their models and visualize feature attributions returned from the model.

machine-learning

Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren Integrated Model, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, FISTA, ADMM, Gaussian Mixture Model, OPTICS, DBSCAN, Random Forest, Decision Tree, Support Vector Machine, Independent Component Analysis, Latent Semantic Indexing, Principal Component Analysis, Singular Value Decomposition, K Nearest Neighbors, K Means, Naïve Bayes Mixture Model, Gaussian Discriminant Analysis, Newton Method, Coordinate Descent, Gradient Descent, Elastic Net Regression, Ridge Regression, Lasso Regression, Least Squares, Logistic Regression, Linear Regression

socrec

SocRec - Towards a Scalable Social Recommender Engine

spoon-knife

This repo is for demonstration purposes only.

xai-composition

xai-imageexplanation

xai-imagesimilarity

xai-selection

xai-ucm

Little python tool for batch generation and labeling of interpretable images

xai-ucm-unsup

Little Python scripts for clustering analysis of different features generated form images. Part of my thesis' programming workflow.