Keith Battocchi

Prototype for an F# MSIL DSL

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal in

Reproduce a surprising coverage behavior

📦 shippable application packaging for Rust

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.

The Visual F# compiler and tools

Deep Learning for humans

This repository contains .NET Documentation.

What you need to get started in type provider creation

Extensions and Tools for F# Programming