Scientific Software
Updated 6 months ago

FAT Forensics — Peer-reviewed • Rank 9.9 • Science 95%

FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems - Published in JOSS (2020)

Updated 6 months ago

shap • Rank 31.6 • Science 46%

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

Updated 6 months ago

thetis • Rank 8.3 • Science 44%

Service to examine data processing pipelines (e.g., machine learning or deep learning pipelines) for uncertainty consistency (calibration), fairness, and other safety-relevant aspects.

Updated 6 months ago

statlingua • Rank 8.0 • Science 26%

Explain Statistical Output with Large Language Models

Updated 5 months ago

https://github.com/agamiko/gebi • Rank 2.9 • Science 10%

GEBI: Global Explanations for Bias Identification. Open source code for discovering bias in data with skin lesion dataset

Updated 5 months ago

https://github.com/baldassarrefe/graph-network-explainability • Science 23%

Explainability techniques for Graph Networks, applied to a synthetic dataset and an organic chemistry task. Code for the workshop paper "Explainability Techniques for Graph Convolutional Networks" (ICML19)

Updated 6 months ago

model-guidance • Science 44%

Code for the paper: Studying How to Efficiently and Effectively Guide Models with Explanations. ICCV 2023.

Updated 5 months ago

https://github.com/cn-tu/adversarial-recurrent-ids • Science 10%

Contact: Alexander Hartl, Maximilian Bachl, Fares Meghdouri. Explainability methods and Adversarial Robustness metrics for RNNs for Intrusion Detection Systems. Also contains code for "SparseIDS: Learning Packet Sampling with Reinforcement Learning" (branch "rl").

Updated 6 months ago

scene-representation-diffusion-model • Science 23%

Linear probe found representations of scene attributes in a text-to-image diffusion model

Updated 6 months ago

azimuth • Science 67%

Helping AI practitioners better understand their datasets and models in text classification. From ServiceNow.

Updated 5 months ago

https://github.com/ai4healthuol/causalconceptts • Science 23%

Repository for the paper 'CausalConceptTS: Causal Attributions for Time Series Classification using High Fidelity Diffusion Models'.

Updated 6 months ago

xsearchkg • Science 36%

Source code for XSearchKG, a full-stack web application for explainable keyword search over knowledge graphs

Updated 6 months ago

surrogates-tutorial • Science 67%

What and How of Machine Learning Transparency – ECML-PKDD 2020 Hands-on Tutorial