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causaldiscoverytoolbox

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

causalinference

Causal Inference in Python

causalinference.jl

Causal inference, graphical models and structure learning with the PC algorithm.

causality

Tools for causal analysis

cgnn

Replication code for the article "Learning Functional Causal Models with Generative Neural Networks"

csv-to-arff

Python program to convert a CSV file to an ARFF file.

defragtrees

Python code for tree ensemble interpretation

dowhy

DoWhy is a Python library that makes it easy to estimate causal effects. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

game_gogo

genesim

An innovative technique that constructs an ensemble of decision trees and converts this ensemble into a single, interpretable decision tree with an enhanced predictive performance

interpretable-ml-book

Book about interpretable machine learning

iops

learngit

lime

Lime: Explaining the predictions of any machine learning classifier

limpq

Official implementation for paper "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance"

mengyuan404.github.io

AcadHomepage: A Modern and Responsive Academic Personal Homepage

nips2015_vrnn

pgmpy

Python Library for Probabilistic Graphical Models

rulefit

Python implementation of the rulefit algorithm

spark-mesos-pyspark

srnn

Code for "Sequential Neural Models with Stochastic Layers"

tfsnippet

A set of utilities for writing and testing TensorFlow models

tigramite

Tigramite is a time series analysis python module for causal discovery. **** Interested in doing a Postdoc/PhD applying machine learning to societally relevant scientific problems at the new DLR Data Science Institute in Germany? Visit www.climateinformaticslab.com **** The Tigramite documentation is at

treeinterpreter

zh-google-styleguide

Google 开源项目风格指南 (中文版)