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Tags: Data science
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Bayesian Modeling and Probabilistic Programming in Python

  • python
  • statistical-analysis
  • bayesian-inference
  • mcmc

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.

The Python ensemble sampling toolkit for affine-invariant MCMC

  • python
  • mcmc
  • mcmc-sampler
  • probabilistic-data-analysis

A powerful library extending VBA with over 100 functions for math, stats, finance, and data manipulation. It supports matrix operations, and user-defined functions, enhancing automation and analysis within Microsoft Office and LibreOffice environments for data management, financial calculations, an more.

  • equation-systems
  • mathematical-expression-parser
  • mathematical-expressions-evaluator
  • determinant-calculation