Microsoft Health Intelligence Azure Machine Learning Toolbox

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis.

Proceedings of AISTATS 2020

This repo contains the underlying code for all the experiments from the paper: "Automatic Discovery of Privacy-Utility Pareto Fronts"

A Python-based toolbox of various methods in uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.

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 graphic…

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

Modular Probabilistic Programming on MXNet

A simple Jekyll Template Card Based.

Talks from Neil Lawrence

BayesOpt

Gaussian Process Summer School, Sheffield, 2015

Spearmint Bayesian optimization codebase

Python package for modular Bayesian optimization