»Feeling Responsive« is a free flexible theme for Jekyll built on Foundation framework. You can use it for your company site, as a portfolio or as a blog.

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.

cuDF - GPU DataFrame Library

cuGraph - RAPIDS Graph Analytics Library

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

Python package for graph statistics

Companion webpage to the book "Mathematics For Machine Learning"

PHATE (Potential of Heat-diffusion for Affinity-based Transition Embedding) is a tool for visualizing high dimensional data.

A library for efficient similarity search and clustering of dense vectors.

Supporting code for the paper «Generative molecular design in low data regimes»