Alternatives and similar repositories for attention:

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

• serrano-s / attn-tests
  Checking the interpretability of attention on text classification models
  ☆48Updated 5 years ago
• IBM / superglue-mtl
  Boolean Question Answering with multi-task learning and uses large LM embeddings like BERT, RoBERTa
  ☆18Updated 5 years ago
• shreydesai / calibration
  Code and datasets for the EMNLP 2020 paper "Calibration of Pre-trained Transformers"
  ☆59Updated last year
• successar / FRESH
  ☆27Updated last year
• nng555 / ssmba
  ☆63Updated 3 years ago
• bohanli / vae-pretraining-encoder
  PyTorch implementation of A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text (EMNLP 2019)
  ☆48Updated 5 years ago
• alontalmor / oLMpics
  ☆46Updated 5 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 8 months ago
• allenai / allentune
  Hyperparameter Search for AllenNLP
  ☆139Updated last month
• ofirpress / sandwich_transformer
  This repository contains the code for running the character-level Sandwich Transformers from our ACL 2020 paper on Improving Transformer …
  ☆55Updated 4 years ago
• nicola-decao / diffmask
  Pytorch implementation of DiffMask
  ☆55Updated last year
• harvardnlp / encoder-agnostic-adaptation
  Encoder-Agnostic Adaptation for Conditional Language Generation
  ☆79Updated 9 months ago
• boknilev / nlp-analysis-methods
  Companion site for "Analysis Methods in Neural Language Processing: A Survey"
  ☆66Updated 5 years ago
• eaclark07 / sms
  ☆43Updated 5 years ago
• jayded / eraserbenchmark
  A benchmark for understanding and evaluating rationales: http://www.eraserbenchmark.com/
  ☆96Updated 2 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
• pmichel31415 / teapot-nlp
  Tool for Evaluating Adversarial Perturbations on Text
  ☆61Updated 3 years ago
• bastings / interpretable_predictions
  Interpretable Neural Predictions with Differentiable Binary Variables
  ☆84Updated 3 years ago
• jamie-murdoch / ContextualDecomposition
  Demo for method introduced in "Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs"
  ☆56Updated 4 years ago
• xhan77 / influence-function-analysis
  ☆63Updated 5 years ago
• john-hewitt / control-tasks
  Repository describing example random control tasks for designing and interpreting neural probes
  ☆32Updated 2 years ago
• hsajjad / Interpretability-Tutorial-NAACL2021
  ☆24Updated 3 years ago
• mega002 / annotator_bias
  The accompanying code for "Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understandin…
  ☆21Updated 5 years ago
• efficientqa / nq-open
  ☆31Updated 4 years ago
• qkaren / Counterfactual-StoryRW
  code and data for EMNLP-19 paper "Counterfactual Story Reasoning and Generation" https://arxiv.org/abs/1909.04076
  ☆101Updated 5 years ago
• akashkm99 / Interpretable-Attention
  Official Code for Towards Transparent and Explainable Attention Models paper (ACL 2020)
  ☆36Updated 2 years ago
• vid-koci / bert-commonsense
  Code for papers "A Surprisingly Robust Trick for Winograd Schema Challenge" and "WikiCREM: A Large Unsupervised Corpus for Coreference Re…
  ☆71Updated 2 years ago
• cambridgeltl / parameter-factorization
  Factorization of the neural parameter space for zero-shot multi-lingual and multi-task transfer
  ☆39Updated 4 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
• johnmwu / contextual-corr-analysis
  ☆17Updated 4 years ago