Alternatives and similar repositories for wrench

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

• JieyuZ2 / Awesome-Weak-Supervision
  A curated list of programmatic weak supervision papers and resources
  ☆190Updated 2 years ago
• allenai / cartography
  Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics
  ☆205Updated 3 years ago
• kawine / dataset_difficulty
  "Understanding Dataset Difficulty with V-Usable Information" (ICML 2022, outstanding paper)
  ☆87Updated 2 years ago
• sebastianGehrmann / CausalMediationAnalysis
  Code for the paper "Causal Mediation Analysis for Interpreting Neural NLP: The Case of Gender Bias"
  ☆82Updated 4 years ago
• acmi-lab / counterfactually-augmented-data
  Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
  ☆170Updated 4 years ago
• microsoft / UST
  Uncertainty-aware Self-training
  ☆121Updated last year
• tongshuangwu / polyjuice
  ☆97Updated 3 years ago
• shauli-ravfogel / nullspace_projection
  ☆90Updated 3 years ago
• awebson / prompt_semantics
  This repository accompanies our paper “Do Prompt-Based Models Really Understand the Meaning of Their Prompts?”
  ☆85Updated 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 2 years ago
• MadryLab / trak
  A fast, effective data attribution method for neural networks in PyTorch
  ☆218Updated 10 months ago
• allenai / mice
  ☆26Updated 2 years ago
• mourga / contrastive-active-learning
  Code for the EMNLP 2021 Paper "Active Learning by Acquiring Contrastive Examples" & the ACL 2022 Paper "On the Importance of Effectively …
  ☆128Updated 3 years ago
• copenlu / xai-benchmark
  A Diagnostic Study of Explainability Techniques for Text Classification
  ☆68Updated 4 years ago
• gorokoba560 / norm-analysis-of-transformer
  ☆86Updated last year
• fdalvi / NeuroX
  A Python library that encapsulates various methods for neuron interpretation and analysis in Deep NLP models.
  ☆106Updated 2 years ago
• microsoft / ASTRA
  Self-training with Weak Supervision (NAACL 2021)
  ☆161Updated 2 years ago
• mtsang / archipelago
  Official Code Repo for the Paper: "How does This Interaction Affect Me? Interpretable Attribution for Feature Interactions", In NeurIPS 2…
  ☆40Updated 2 years ago
• ruiqi-zhong / DescribeDistributionalDifferences
  Code for preprint: Summarizing Differences between Text Distributions with Natural Language
  ☆43Updated 2 years ago
• tianlu-wang / Identifying-and-Mitigating-Spurious-Correlations-for-Improving-Robustness-in-NLP-Models
  NAACL 2022 Findings
  ☆15Updated 3 years ago
• jayded / eraserbenchmark
  A benchmark for understanding and evaluating rationales: http://www.eraserbenchmark.com/
  ☆99Updated 2 years ago
• mainlp / awesome-human-label-variation
  A curated list of awesome datasets with human label variation (un-aggregated labels) in Natural Language Processing and Computer Vision, …
  ☆93Updated last year
• peterbhase / ExplanationSearch
  Code for paper "Search Methods for Sufficient, Socially-Aligned Feature Importance Explanations with In-Distribution Counterfactuals"
  ☆18Updated 2 years ago
• pliang279 / sent_debias
  [ACL 2020] Towards Debiasing Sentence Representations
  ☆66Updated 2 years ago
• frankaging / BERT-LRP
  On Explaining Your Explanations of BERT: An Empirical Study with Sequence Classification
  ☆29Updated 2 years ago
• google-research / jax-influence
  ☆62Updated 3 years ago
• decile-team / submodlib
  Summarize Massive Datasets using Submodular Optimization
  ☆113Updated 4 months ago
• eric-mitchell / mend
  MEND: Fast Model Editing at Scale
  ☆250Updated 2 years ago
• xiaoyuxin1002 / UQ-PLM
  Uncertainty Quantification with Pre-trained Language Models: An Empirical Analysis
  ☆15Updated 3 years ago
• cambridgeltl / composable-sft
  A library for parameter-efficient and composable transfer learning for NLP with sparse fine-tunings.
  ☆74Updated last year