Alternatives and similar repositories for compexp

Users that are interested in compexp are comparing it to the libraries listed below

• RobertCsordas / modules
  The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We…
  ☆46Updated 2 years ago
• google-research / heldout-influence-estimation
  ☆62Updated 4 years ago
• bethgelab / InDomainGeneralizationBenchmark
  ☆33Updated 4 years ago
• google-research / jax-influence
  ☆63Updated 3 years ago
• HazyResearch / model-patching
  Model Patching: Closing the Subgroup Performance Gap with Data Augmentation
  ☆41Updated 5 years ago
• mlepori1 / NeuroSurgeon
  NeuroSurgeon is a package that enables researchers to uncover and manipulate subnetworks within models in Huggingface Transformers
  ☆41Updated 9 months ago
• ruiqi-zhong / DescribeDistributionalDifferences
  Code for preprint: Summarizing Differences between Text Distributions with Natural Language
  ☆43Updated 2 years ago
• MadryLab / BREEDS-Benchmarks
  ☆55Updated 5 years ago
• CoderPat / learning-scaffold
  This is the official implementation for the paper "Learning to Scaffold: Optimizing Model Explanations for Teaching"
  ☆19Updated 3 years ago
• shauli-ravfogel / nullspace_projection
  ☆90Updated 3 years ago
• lena-voita / description-length-probing
  This is a repository with the code for the EMNLP 2020 paper "Information-Theoretic Probing with Minimum Description Length"
  ☆71Updated last year
• MadryLab / DebuggableDeepNetworks
  ☆38Updated 4 years ago
• belindal / state-probes
  Code for the paper "Implicit Representations of Meaning in Neural Language Models"
  ☆55Updated 2 years ago
• kawine / dataset_difficulty
  "Understanding Dataset Difficulty with V-Usable Information" (ICML 2022, outstanding paper)
  ☆88Updated 2 years ago
• p-lambda / incontext-learning
  Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implici…
  ☆106Updated 2 years ago
• technion-cs-nlp / irm-for-nli
  ☆11Updated 3 years ago
• aNOnWhyMooS / connectivity
  ☆18Updated last year
• dmitrykazhdan / concept-based-xai
  Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
  ☆54Updated 3 years ago
• js-d / sim_metric
  ☆37Updated 2 years ago
• chihkuanyeh / concept_exp
  code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"
  ☆54Updated 3 years ago
• pliang279 / LM_bias
  [ICML 2021] Towards Understanding and Mitigating Social Biases in Language Models
  ☆61Updated 3 years ago
• jgamper / intrinsic-dimensionality
  Use this package to compute intrinsic dimensionality of your task given a fixed neural network in PYTORCH!
  ☆36Updated 3 years ago
• HazyResearch / hidden-stratification
  Combating hidden stratification with GEORGE
  ☆64Updated 4 years ago
• sebastianGehrmann / CausalMediationAnalysis
  Code for the paper "Causal Mediation Analysis for Interpreting Neural NLP: The Case of Gender Bias"
  ☆82Updated 4 years ago
• allenai / contrastive-explanations
  Explaining neural decisions contrastively to alternative decisions.
  ☆25Updated 4 years ago
• swabhs / notebooks_for_aflite
  IPython notebook with synthetic experiments for AFLite, based on the ICML 2020 paper, "Adversarial Filters of Dataset Biases".
  ☆16Updated 5 years ago
• hsajjad / Interpretability-Tutorial-NAACL2021
  ☆24Updated 4 years ago
• facebookresearch / InvarianceUnitTests
  Toy datasets to evaluate algorithms for domain generalization and invariance learning.
  ☆42Updated 3 years ago
• MadryLab / datamodels-data
  Data for "Datamodels: Predicting Predictions with Training Data"
  ☆97Updated 2 years ago
• Kaleidophon / nlp-uncertainty-zoo
  Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.
  ☆53Updated 2 years ago