SandC

Algorithms for explaining machine learning models

A Python package for modular causal inference analysis and model evaluations

This repository collects an extensive list of awesome papers about Story Generation / Storytelling, primarily focusing on the era of Large Language Models (LLMs).

[ML4H 2022] This is the code for our paper `Counterfactual and Factual Reasoning over Hypergraphs for Interpretable Clinical Predictions on EHR'.

Awesome Neural Logic and Causality: MLN, NLRL, NLM, etc. 因果推断，神经逻辑，强人工智能逻辑推理前沿领域。

FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)

(ICML 2023) High Fidelity Image Counterfactuals with Probabilistic Causal Models

A Web Application to generate multiple genre stories based on Open AI's GPT-2 Model

PyTorch implementation for our proposed CFIE in EMNLP 2021 paper "Uncovering Main Causalities for Long-tailed Information Extraction".

A lightweight and easily readable context-free grammar generator!