Alternatives and similar repositories for bayesian-mi

Users that are interested in bayesian-mi are comparing it to the libraries listed below

• qkaren / COLD_decoding
  ☆108Updated 3 years ago
• yanaiela / amnesic_probing
  ☆39Updated 4 years ago
• john-hewitt / truncation-sampling
  Codebase describing experiments in Truncation Sampling as Language Model Desmoothing
  ☆12Updated 2 years ago
• shauli-ravfogel / nullspace_projection
  ☆89Updated 3 years ago
• belindal / state-probes
  Code for the paper "Implicit Representations of Meaning in Neural Language Models"
  ☆54Updated 2 years ago
• qkaren / unsup_gen_for_cms_reasoning
  ☆49Updated 2 years ago
• yanaiela / pararel
  ☆45Updated last year
• 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 10 months ago
• hsajjad / Interpretability-Tutorial-NAACL2021
  ☆24Updated 4 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
• easonnie / ChaosNLI
  [EMNLP 2020] Collective HumAn OpinionS on Natural Language Inference Data
  ☆37Updated 3 years ago
• peterwestuw / surface-form-competition
  ☆58Updated 3 years ago
• GXimingLu / neurologic_decoding
  ☆82Updated 2 years ago
• GEM-benchmark / GEM-metrics
  Automatic metrics for GEM tasks
  ☆66Updated 2 years ago
• john-hewitt / conditional-probing
  Codebase for running (conditional) probing experiments
  ☆22Updated 2 years ago
• swarnaHub / PRover
  [EMNLP 2020] PyTorch code of PRover: Proof Generation for Interpretable Reasoning over Rules
  ☆19Updated 2 years ago
• allenai / abductive-commonsense-reasoning
  ☆72Updated last year
• krishnap25 / mauve-experiments
  ☆38Updated last year
• tongshuangwu / polyjuice
  ☆97Updated 2 years ago
• keyonvafa / sequential-rationales
  Rationales for Sequential Predictions
  ☆40Updated 3 years ago
• princeton-nlp / rationale-robustness
  NAACL 2022: Can Rationalization Improve Robustness? https://arxiv.org/abs/2204.11790
  ☆27Updated 2 years ago
• rycolab / info-theoretic-probing
  This code accompanies the paper "Information-Theoretic Probing for Linguistic Structure" published in ACL 2020.
  ☆21Updated 5 years ago
• epfl-dlab / invariant-language-models
  A framework to train language models to learn invariant representations.
  ☆14Updated 3 years ago
• neulab / retomaton
  PyTorch code for the RetoMaton paper: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022)
  ☆73Updated 3 years ago
• najoungkim / COGS
  ☆61Updated 2 years ago
• allenai / mice
  ☆26Updated 2 years ago
• zjiayao / ccr_rock
  ROCK Framework for Commonsense Causality Reasoning (CCR)
  ☆10Updated 2 years ago
• jacobandreas / geca
  ☆42Updated 4 years ago
• i-machine-think / am-i-compositional
  ☆62Updated 2 years ago
• INK-USC / CrossFit
  Code for paper "CrossFit : A Few-shot Learning Challenge for Cross-task Generalization in NLP" (https://arxiv.org/abs/2104.08835)
  ☆111Updated 3 years ago