Alternatives and similar repositories for XAI-papers

Users that are interested in XAI-papers are comparing it to the libraries listed below

• pbiecek / xai_resources
  Interesting resources related to XAI (Explainable Artificial Intelligence)
  ☆839Updated 3 years ago
• samzabdiel / XAI
  Papers and code of Explainable AI esp. w.r.t. Image classificiation
  ☆218Updated 3 years ago
• eclique / RISE
  Detect model's attention
  ☆168Updated 5 years ago
• wangyongjie-ntu / Awesome-explainable-AI
  A collection of research materials on explainable AI/ML
  ☆1,566Updated 2 weeks ago
• ankurtaly / Integrated-Gradients
  Attributing predictions made by the Inception network using the Integrated Gradients method
  ☆639Updated 3 years ago
• SinaMohseni / Awesome-XAI-Evaluation
  Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems
  ☆75Updated 3 years ago
• lopusz / awesome-interpretable-machine-learning
  ☆916Updated 2 years ago
• datamllab / awesome-fairness-in-ai
  A curated list of awesome Fairness in AI resources
  ☆328Updated 2 years ago
• MadryLab / robustness
  A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.
  ☆944Updated last year
• amiratag / ACE
  Towards Automatic Concept-based Explanations
  ☆161Updated last year
• hbaniecki / adversarial-explainable-ai
  💡 Adversarial attacks on explanations and how to defend them
  ☆328Updated 10 months ago
• marcoancona / DeepExplain
  A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also in…
  ☆757Updated 5 years ago
• cfchen-duke / ProtoPNet
  This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpreta…
  ☆375Updated 3 years ago
• rehmanzafar / xai-iml-sota
  Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human…
  ☆74Updated 3 years ago
• idiap / fullgrad-saliency
  Full-gradient saliency maps
  ☆212Updated 2 years ago
• hendrycks / natural-adv-examples
  A Harder ImageNet Test Set (CVPR 2021)
  ☆612Updated last year
• P2333 / Papers-of-Robust-ML
  Related papers for robust machine learning
  ☆568Updated 2 years ago
• p-lambda / wilds
  A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.
  ☆579Updated last year
• TianhongDai / integrated-gradient-pytorch
  This is the pytorch implementation of the paper - Axiomatic Attribution for Deep Networks.
  ☆187Updated 3 years ago
• google-research-datasets / bam
  ☆51Updated 5 years ago
• tensorflow / tcav
  Code for the TCAV ML interpretability project
  ☆645Updated 4 months ago
• gpleiss / temperature_scaling
  A simple way to calibrate your neural network.
  ☆1,162Updated 2 months ago
• hendrycks / outlier-exposure
  Deep Anomaly Detection with Outlier Exposure (ICLR 2019)
  ☆567Updated 4 years ago
• sebastian-lapuschkin / lrp_toolbox
  The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Py…
  ☆333Updated 3 years ago
• adebayoj / sanity_checks_saliency
  ☆112Updated 2 years ago
• facebookresearch / odin
  A simple and effective method for detecting out-of-distribution images in neural networks.
  ☆538Updated 4 years ago
• AI4LIFE-GROUP / OpenXAI
  OpenXAI : Towards a Transparent Evaluation of Model Explanations
  ☆248Updated last year
• csinva / hierarchical-dnn-interpretations
  Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)
  ☆129Updated 4 years ago
• js05212 / BayesianDeepLearning-Survey
  Bayesian Deep Learning: A Survey
  ☆517Updated last week
• feifeife / All-about-XAI
  This repository is all about papers and tools of Explainable AI
  ☆36Updated 5 years ago