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aif360

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

aix360

Interpretability and explainability of data and machine learning models

alibi

Algorithms for monitoring and explaining machine learning models

awesome-causality-algorithms

An index of algorithms for learning causality with data

catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

causaldiscoverytoolbox

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

datacamp

DataCamp data-science courses

dota2-match-prediction

Forked from hardian_law/dota2-match-prediction

faker

Faker is a Python package that generates fake data for you.

fsfc

Feature Selection for Clustering

high_noise_clustering

Techniques to cluster very noisy data (dropouts or random noise)

jupyter_notes

lenet-mnist-demo

A Recreation of the LeNet-5 MNIST Demonstration on Yann Lecun's personal website

math_by_richard_feynman

A repo of curated links to Math lectures by Prof. Richard Feynman

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

pyprobml

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

tigramite

Tigramite is a time series analysis python module for causal discovery. The Tigramite documentation is at