Explaining Anomalies Detected by Autoencoders Using SHAP

Official repository of the paper "Interpretable Anomaly Detection with DIFFI: Depth-based Isolation Forest Feature Importance", M. Carletti, M. Terzi, G. A. Susto.

Misconfiguration detection in configuration files

An AI/ML solution that provides a probability that a hard drive will fail within some pre-defined time period.

📚 Papers and blogs by organizations sharing their work on data science & machine learning in production.

Deep Learning introduction and its application in various fields

Manifests to install ODH

A curated list of references for MLOps

A repository for Open Data Hub Kustomize manifests extending upstream Kubeflow manifests

Continuous Deployment

📖 List of some awesome university courses for Machine Learning! Feel free to contribute!

The configuration files and issues datasets collected from real users

A collection of awesome readme templates to display on your profile

This repository serves as a central location for services being run by the AICoE SRE team.

Encoding schemes for nominal categorical variables in an unsupervised setting.

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

Interpretation of Isolation Forests

Locality Sensitive Hashing using MinHash in Python/Cython to detect near duplicate text documents

This is a git focused workshop!

This repository contains the curriculum and course materials for our python data science/machine learning boot camp.