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AndersErikBojsen's Projects

econml icon econml

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 inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

hyperopt icon hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

kedro icon kedro

A Python library for building robust production-ready data and analytics pipelines

mpc-dl-controller icon mpc-dl-controller

Deep Neural Network architecture as a predictive optimal controller for {HVAC+Solar cell + battery} disturbance afflicted system compared to classic Model Predictive Control

nordnet-api-example icon nordnet-api-example

Examples for connecting to the Nordnet API running on Python 3.5 and using the Crypto package with PKCS1_v1_5 and PublicKey

privy icon privy

An easy, fast lib to correctly password-protect your data

py4j icon py4j

Py4J enables Python programs to dynamically access arbitrary Java objects

talib-macd-example icon talib-macd-example

An example of using TA-lib to render a MACD indicator using matplotlib in Python

tensorflow icon tensorflow

An Open Source Machine Learning Framework for Everyone

zipline icon zipline

Zipline, a Pythonic Algorithmic Trading Library

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