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The Web framework for perfectionists with deadlines.
The world's simplest facial recognition api for Python and the command line
Scrapy, a fast high-level web crawling & scraping framework for Python.
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…
Library for building WebSocket servers and clients in Python
Uplift modeling and causal inference with machine learning algorithms
A collection of research papers on decision, classification and regression trees with implementations.
Interpretability and explainability of data and machine learning models
Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data
Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
Parse and Process AWS IAM Policies, Statements, ARNs, and wildcards.
A new framework to generate interpretable classification rules
This repository contains the source code of the paper "Learning Accurate and Interpretable Decision Rule Sets from Neural Networks".
An implementation for Time changing decision tree