Popular GitHub Repositories for Statistical Inference

A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.

Code and data for the KDD2020 paper "Learning Opinion Dynamics From Social Traces"

AI eXplainable Inference & Search. Open Sourcing on-premise, ultra-fast latency intelligence to all.

Code and data for the CIKM2021 paper "Learning Ideological Embeddings From Information Cascades"

A property recommender for Knowledge Graph authoring, first presented at ESWC 2020

Attempting to make Statistics for Machine Learning easy to learn and understand

Statistical Inference with JAX.

一个基于PyTorch的贝叶斯网络框架，支持离散和连续两种数据类型。该框架针对GPU加速和批量操作进行了优化，适用于动态网络结构和多智能体场景，提供了一种灵活且可扩展的方法来学习和推断复杂领域中的概率。

The repository contains all the source files for the Regression Cookbook (Now with Machine Learning and Stats Flavours!). This textbook aims to set a common ground between machine learning and statistics regarding linear regression techniques using Python and R under two perspectives: inference and prediction.

This repository contains code which accompanies the paper: Assessing Model Behaviour on Extreme Counterfactuals (https://www.researchgate.net/publication/360912277_Assessing_Model_Behaviour_on_Extreme_Counterfactuals)