Alternatives and similar repositories for entropy-lens

Users that are interested in entropy-lens are comparing it to the libraries listed below

• mateoespinosa / cem
  Repository for our NeurIPS 2022 paper "Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off" and our NeurIPS 2023 paper…
  ☆66Updated 2 weeks ago
• nickruggeri / CLAP-interpretable-predictions
  Official codebase for the paper "Provable concept learning for interpretable predictions using variational inference".
  ☆14Updated 3 years ago
• JonathanCrabbe / CARs
  This repository contains the implementation of Concept Activation Regions, a new framework to explain deep neural networks with human con…
  ☆13Updated 2 years ago
• dylan-slack / Modeling-Uncertainty-Local-Explainability
  Local explanations with uncertainty 💐!
  ☆40Updated 2 years ago
• dmitrykazhdan / concept-based-xai
  Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
  ☆55Updated 3 years ago
• IBM / concept_transformer
  Code for the ICLR 2022 paper "Attention-based interpretability with Concept Transformers"
  ☆40Updated 3 months ago
• batmanlab / ICML-2023-Route-interpret-repeat
  [ICML 2023] Official repository of paper: Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repe…
  ☆25Updated 3 weeks ago
• ahujak / IB-IRM
  ☆31Updated 3 years ago
• LFhase / PAIR
  [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
  ☆52Updated last year
• izmailovpavel / spurious_feature_learning
  ☆46Updated 2 years ago
• mertyg / post-hoc-cbm
  Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023
  ☆82Updated last year
• navid-naderi / WEGL
  The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).
  ☆35Updated 4 years ago
• cambridge-mlg / CLUE
  Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"
  ☆36Updated last year
• huaxiuyao / LISA
  LISA for ICML 2022
  ☆50Updated 2 years ago
• YyzHarry / SubpopBench
  [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift
  ☆108Updated 2 years ago
• namratadeka / circe
  Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)
  ☆21Updated 2 years ago
• MaheepChaudhary / Causality-in-Trustworthy-Machine-Learning
  The repository contains lists of papers on causality and how relevant techniques are being used to further enhance deep learning era comp…
  ☆95Updated 2 years ago
• acmi-lab / RLSbench
  Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift
  ☆34Updated 2 years ago
• dmitrykazhdan / CME
  CME: Concept-based Model Extraction
  ☆11Updated 4 years ago
• ieee8023 / latentshift
  A method to generate counterfactuals
  ☆12Updated 5 months ago
• Wuyxin / DISC
  (ICML 2023) Discover and Cure: Concept-aware Mitigation of Spurious Correlation
  ☆41Updated last year
• siplab-gt / generative-causal-explanations
  Code for "Generative causal explanations of black-box classifiers"
  ☆35Updated 4 years ago
• ycq091044 / ManyDG
  ICLR 2023 paper - ManyDG - Dataset processing and mode codes
  ☆24Updated last year
• suinleelab / vit-shapley
  ☆35Updated last year
• patrickrchao / DiffusionBasedCausalModels
  ☆27Updated 4 months ago
• vanderschaarlab / DECAF
  DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks
  ☆21Updated 2 months ago
• vios-s / Diff-SCM
  Code for Diff-SCM paper
  ☆97Updated 2 years ago
• m-Just / OoD-Bench
  ☆44Updated 4 months ago
• JonathanCrabbe / Simplex
  This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help …
  ☆24Updated 2 years ago
• huaxiuyao / Wild-Time
  Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)
  ☆67Updated 2 years ago