egawati

micoes

Micro-clusters-based Outlier Explanations for Data Streams

causalml

Uplift modeling and causal inference with machine learning algorithms

causalnex

A Python library that helps data scientists to infer causation rather than observing correlation.

content

Official content for Harvard CS109

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

exos

macrobase

MacroBase fork with a benchmark for anomaly detection and explanation algorithms and implementations of several popular algorithms not provided with MacroBase (iforest, MCOD, LOF, ...).

mlcourse

Machine learning course materials.

pytudes

Python programs, usually short, of considerable difficulty, to perfect particular skills.

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

tech-portfolio

outlier_causality

osc10e

Source code for the 10th edition of Operating System Concepts

TCDF

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series