#计算机科学#Algorithms for explaining machine learning models
#计算机科学#Must-read papers and resources related to causal inference and machine (deep) learning
CausalLift: Python package for causality-based Uplift Modeling in real-world business
💡 Adversarial attacks on explanations and how to defend them
#计算机科学#CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
Home for all packages related to the Counterfactual project
A Python package for causal inference using Synthetic Controls
[CVPR 2021] Counterfactual VQA: A Cause-Effect Look at Language Bias
The repository contains lists of papers on causality and how relevant techniques are being used to further enhance deep learning era computer vision solutions.
FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)
#计算机科学#(ICML 2023) High Fidelity Image Counterfactuals with Probabilistic Causal Models
#区块链#MixEth: efficient, trustless coin mixing service for Ethereum
Materials Collection for Causal Inference
#计算机科学#Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"
#自然语言处理#PyTorch implementation for our proposed CFIE in EMNLP 2021 paper "Uncovering Main Causalities for Long-tailed Information Extraction".
#大语言模型#Counterfactual Reasoning VQA Dataset
[ML4H 2022] This is the code for our paper `Counterfactual and Factual Reasoning over Hypergraphs for Interpretable Clinical Predictions on EHR'.
Summaries and notes on CounterFactual Machine Learning papers