xwbxxx

FloatingX

Android上强大的悬浮窗组件，支持 系统浮窗(需要权限)、应用内浮窗(无权限)、局部悬浮(View)，支持边缘吸附、回弹、自定义动画、位置保存、窗口化及分屏后位置修复等。Android without permission suspension window(App), support global(View), local suspension, support edge adsorption, rebound, custom animation, position saving, windowing and split-screen position repair.

shap

A game theoretic approach to explain the output of any machine learning model.

dct-policy

ZJU_SummerSchool_ProjectTemplate

NTS-NOTEARS

Code for paper: NTS-NOTEARS: Learning Nonparametric DBNs With Prior Knowledge

rainbow-is-all-you-need

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

PCGCE

stamox

make your statistical research faster

leap

LEAP is a novel tool for discovering latent temporal causal relations.

tigramite

Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at

CPCaD-Bench

Continuous Industrial Process datasets for benchmarking Causal Discovery methods

awesome-causality-algorithms

An index of algorithms for learning causality with data

pcalg-py

Implement PC algorithm in Python | PC 算法的 Python 实现

docker-drag

Download image from the Docker Hub HTTPS API

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.

PCIC-2021-Track1

PCIC 2021 Track1: Causal Discovery

dowhy

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.

TroubleShooter

The algorithms about root cause analysis/localization/diagnosis in AIOps.

tetrad

Repository for the Tetrad Project, www.phil.cmu.edu/tetrad.

pplication

test

KFLServlet

Business_Application