Alternatives and similar repositories for archipelago:

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

• peterbhase / ExplanationSearch
  Code for paper "Search Methods for Sufficient, Socially-Aligned Feature Importance Explanations with In-Distribution Counterfactuals"
  ☆17Updated 2 years ago
• CoderPat / learning-scaffold
  This is the official implementation for the paper "Learning to Scaffold: Optimizing Model Explanations for Teaching"
  ☆19Updated 2 years ago
• salesforce / fast-influence-functions
  ☆89Updated last year
• allenai / mice
  ☆26Updated 2 years ago
• ethanjperez / rda
  Code for "Rissanen Data Analysis: Examining Dataset Characteristics via Description Length" by Ethan Perez, Douwe Kiela, and Kyungyhun Ch…
  ☆35Updated 3 years ago
• INK-USC / hierarchical-explanation-neural-sequence-models
  Source code for "Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models", ICLR 2020.
  ☆30Updated 4 years ago
• copenlu / xai-benchmark
  A Diagnostic Study of Explainability Techniques for Text Classification
  ☆67Updated 4 years ago
• successar / FRESH
  ☆27Updated last year
• acmi-lab / counterfactually-augmented-data
  Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
  ☆170Updated 3 years ago
• hsajjad / Interpretability-Tutorial-NAACL2021
  ☆24Updated 3 years ago
• xhan77 / influence-function-analysis
  ☆64Updated 4 years ago
• awasthiabhijeet / Learning-From-Rules
  Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net…
  ☆50Updated 2 years ago
• nicola-decao / diffmask
  Pytorch implementation of DiffMask
  ☆55Updated last year
• bastings / interpretable_predictions
  Interpretable Neural Predictions with Differentiable Binary Variables
  ☆84Updated 3 years ago
• i-machine-think / diagNNose
  diagNNose is a Python library that facilitates a broad set of tools for analysing hidden activations of neural models.
  ☆81Updated last year
• sarahwie / attention
  Code for EMNLP 2019 paper "Attention is not not Explanation"
  ☆58Updated 3 years 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
• benbo / interactive-weak-supervision
  Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling
  ☆31Updated 4 years ago
• shauli-ravfogel / nullspace_projection
  ☆90Updated 2 years ago
• carolinlawrence / gradient-rollback
  Code for gradient rollback, which explains predictions of neural matrix factorization models, as for example used for knowledge base comp…
  ☆21Updated 4 years ago
• csinva / hierarchical-dnn-interpretations
  Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)
  ☆128Updated 3 years ago
• suinleelab / path_explain
  A repository for explaining feature attributions and feature interactions in deep neural networks.
  ☆187Updated 3 years ago
• tongshuangwu / polyjuice
  ☆97Updated 2 years ago
• INK-USC / DIG
  Discretized Integrated Gradients for Explaining Language Models (EMNLP 2021)
  ☆27Updated 3 years ago
• Kaleidophon / nlp-uncertainty-zoo
  Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.
  ☆53Updated last year
• technion-cs-nlp / irm-for-nli
  ☆11Updated 2 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"
  ☆70Updated 7 months ago
• keyonvafa / sequential-rationales
  Rationales for Sequential Predictions
  ☆40Updated 3 years ago
• ykwon0407 / beta_shapley
  Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)
  ☆40Updated 2 years ago
• kawine / dataset_difficulty
  "Understanding Dataset Difficulty with V-Usable Information" (ICML 2022, outstanding paper)
  ☆85Updated last year