counterfactual
There are 46 repositories under counterfactual topic.
SeldonIO/alibi
Algorithms for explaining machine learning models
jvpoulos/causal-ml
Must-read papers and resources related to causal inference and machine (deep) learning
Minyus/causallift
CausalLift: Python package for causality-based Uplift Modeling in real-world business
hbaniecki/adversarial-explainable-ai
💡 Adversarial attacks on explanations and how to defend them
carla-recourse/CARLA
CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
counterfactual/monorepo
Home for all packages related to the Counterfactual project
OscarEngelbrektson/SyntheticControlMethods
A Python package for causal inference using Synthetic Controls
yuleiniu/cfvqa
[CVPR 2021] Counterfactual VQA: A Cause-Effect Look at Language Bias
MaheepChaudhary/Causation-inComputerVision
The repository contains lists of papers on causality and how relevant techniques are being used to further enhance deep learning era computer vision solutions.
yanxinzju/CSS-VQA
Counterfactual Samples Synthesizing for Robust VQA
firmai/ml-fairness-framework
FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)
counterfactual/paper
📄 Counterfactual: Generalized State Channels Paper
seresistvanandras/MixEth
MixEth: efficient, trustless coin mixing service for Ethereum
biomedia-mira/causal-gen
(ICML 2023) High Fidelity Image Counterfactuals with Probabilistic Causal Models
cambridge-mlg/CLUE
Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"
Chrisejorge/Causal-Inference
Materials Collection for Causal Inference
HeyyyyyyG/CFIE
PyTorch implementation for our proposed CFIE in EMNLP 2021 paper "Uncovering Main Causalities for Long-tailed Information Extraction".
Letian2003/C-VQA
Counterfactual Reasoning VQA Dataset
usaito/CFML-papers
Summaries and notes on CounterFactual Machine Learning papers
ritaranx/CACHE
[ML4H 2022] This is the code for our paper `Counterfactual and Factual Reasoning over Hypergraphs for Interpretable Clinical Predictions on EHR'.
Networks-Learning/counterfactual-tpp
Code and real data for "Counterfactual Temporal Point Processes", NeurIPS 2022
Heidelberg-NLP/MHKA
The corresponding code from our paper "Social Commonsense Reasoning with Multi-Head Knowledge Attention (EMNLP 2020)". Do not hesitate to open an issue if you run into any trouble!
Qrange-group/CEM
EMNLP'22, CEM improves MHCH performance by correcting prediction bias and training an auxiliary cost simulator based on user state and labor cost causal graph, without requiring complex model crafting.
bel2scm/bel2scm
Generate dynamic structural causal models from biological knowledge graphs encoded in the Biological Expression Language (BEL)
TimeLovercc/CAF-GNN
[CIKM 2023] Towards Fair Graph Neural Networks via Graph Counterfactual.
geffy/crowdai-counterfactual
2nd place solution for Criteo Ad Placement challenge
rmazzine/CFNOW
Easiest way to generate counterfactual explanations
luka-group/Salience-aware-Learning
[EMNLP 2021] Table-based Fact Verification with Salience-aware Learning.
santikka/cfid
cfid: R package for identifying counterfactuals.
meilfang/CF-PAD
Official repository of the paper Face Presentation Attack Detection by Eacavating Causal Clues and Adapting Embedding Statistics
PierreBlanchart/CMBDTC
counterfactual explanations for XGBoost and tree ensemble models - counterfactual reasoning - model interpretability
ThorstenDoherr/ultimatch
counterfactual matching
ying-A/SandC
Implementation of the AAAI-2021 paper Sketch and Customize: A Counterfacutal Story Generator .
SANCHES-Pedro/Diff-SCM
Code for Diff-SCM paper
ChunjingXiao/CFAD
Counterfactual Graph Learning for Anomaly Detection on Attributed Networks, IEEE TKDE 2023
cubyc-team/anterior
Python's pluggable backtester