Alternatives and similar repositories for XAI-Lib

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

• chr5tphr / zennit
  Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.
  ☆239Updated last week
• understandable-machine-intelligence-lab / Quantus
  Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations
  ☆636Updated 2 weeks ago
• clementchadebec / pyraug
  Data Augmentation with Variational Autoencoders (TPAMI)
  ☆143Updated 3 years ago
• aida-ugent / fairret
  A fairness library in PyTorch.
  ☆32Updated last year
• scikit-adaptation / skada
  Domain adaptation toolbox compatible with scikit-learn and pytorch
  ☆155Updated 3 weeks ago
• hollance / reliability-diagrams
  Reliability diagrams visualize whether a classifier model needs calibration
  ☆165Updated 3 years ago
• annahedstroem / MetaQuantus
  MetaQuantus is an XAI performance tool to identify reliable evaluation metrics
  ☆40Updated last year
• deel-ai / deel-lip
  Build and train Lipschitz constrained networks: TensorFlow implementation of k-Lipschitz layers
  ☆102Updated 10 months ago
• rachtibat / zennit-crp
  An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization
  ☆140Updated 3 weeks ago
• jacobgil / confidenceinterval
  The long missing library for python confidence intervals
  ☆145Updated last year
• automl / neps
  Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.
  ☆79Updated this week
• imedslab / stambo
  Statistical model comparison with bootstrap and beyond
  ☆34Updated last month
• soda-inria / carte
  Repository for CARTE: Context-Aware Representation of Table Entries
  ☆165Updated 5 months ago
• AI4LIFE-GROUP / OpenXAI
  OpenXAI : Towards a Transparent Evaluation of Model Explanations
  ☆252Updated last year
• kaifishr / PyTorchRelevancePropagation
  A basic implementation of Layer-wise Relevance Propagation (LRP) in PyTorch.
  ☆102Updated 3 years ago
• Novartis / torchsurv
  Deep survival analysis made easy
  ☆178Updated 2 weeks ago
• p-lambda / wilds
  A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.
  ☆592Updated 2 years ago
• CoCaLa / causality-tutorial-exercises
  ☆50Updated last year
• janezd / baycomp
  ☆76Updated last year
• agaldran / uqinmia-miccai
  Repository associated to the UQinMIA Tutorial @ MICCAI 2023
  ☆31Updated 3 months ago
• mlfoundations / tableshift
  A benchmark for distribution shift in tabular data
  ☆56Updated last year
• berenslab / t-simcne
  Unsupervised visualization of image datasets using contrastive learning
  ☆115Updated 8 months ago
• moboehle / Pytorch-LRP
  Basic LRP implementation in PyTorch
  ☆174Updated last year
• torch-uncertainty / torch-uncertainty
  Open-source framework for uncertainty and deep learning models in PyTorch
  ☆476Updated this week
• autonlab / auton-survival
  Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Even…
  ☆360Updated last year
• runopti / stg
  Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)
  ☆110Updated 3 years ago
• aangelopoulos / conformal_classification
  Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true cla…
  ☆255Updated 3 years ago
• benchopt / benchopt
  Making your ML and optimization benchmarks simple and open
  ☆289Updated last week
• AlexBinder / LRP_Pytorch_Resnets_Densenet
  implements some LRP rules to get explanations for Resnets and Densenet-121, including batchnorm-Conv canonization and tensorbiased layers…
  ☆26Updated last year
• p-lambda / verified_calibration
  Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…
  ☆153Updated 3 years ago