Alternatives and similar repositories for human-centered-machine-learning

Users that are interested in human-centered-machine-learning are comparing it to the libraries listed below

• uclanlp / awesome-fairness-papers
  Papers on fairness in NLP
  ☆451Updated last year
• sebastianGehrmann / CausalMediationAnalysis
  Code for the paper "Causal Mediation Analysis for Interpreting Neural NLP: The Case of Gender Bias"
  ☆83Updated 4 years ago
• rpryzant / causal-text
  Package for computing causal effects of text (as treatment)
  ☆75Updated 3 years ago
• SALT-NLP / LLMs_for_CSS
  ☆24Updated 2 years ago
• pliang279 / sent_debias
  [ACL 2020] Towards Debiasing Sentence Representations
  ☆64Updated 3 years ago
• zhijing-jin / NLP4SocialGood_Papers
  A reading list of up-to-date papers on NLP for Social Good.
  ☆305Updated 2 years ago
• moinnadeem / StereoSet
  StereoSet: Measuring stereotypical bias in pretrained language models
  ☆197Updated 3 years ago
• BoulderDS / human-centered-machine-learning
  ☆53Updated 5 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, …
  ☆98Updated last year
• tongshuangwu / polyjuice
  ☆98Updated 3 years ago
• rpryzant / causal-bert-pytorch
  Pytorch implementation of "Adapting Text Embeddings for Causal Inference"
  ☆93Updated 4 years ago
• causaltext / causal-text-papers
  Curated research at the intersection of causal inference and natural language processing.
  ☆814Updated 2 years ago
• rpryzant / deconfounded-lexicon-induction
  Find text features that are most related to an outcome, controlling for confounds.
  ☆60Updated last year
• vveitch / causal-text-embeddings-tf2
  Tensorflow 2 implementation of Causal-BERT
  ☆74Updated 2 years ago
• pliang279 / LM_bias
  [ICML 2021] Towards Understanding and Mitigating Social Biases in Language Models
  ☆61Updated 3 years ago
• SALT-NLP / implicit-hate
  ☆43Updated 2 years ago
• acmi-lab / counterfactually-augmented-data
  Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
  ☆171Updated 4 years ago
• amaiya / causalnlp
  CausalNLP is a practical toolkit for causal inference with text as treatment, outcome, or "controlled-for" variable.
  ☆156Updated last year
• BrendanKennedy / contextualizing-hate-speech-models-with-explanations
  Official code release for ACL 2020 paper "Contextualizing Hate Speech Classifiers with Post hoc Explanation"
  ☆35Updated 4 years ago
• slanglab / twitteraae
  Code for Blodgett et al. 2016, Demographic dialectal variation in social media
  ☆25Updated 6 years ago
• TManzini / DebiasMulticlassWordEmbedding
  NAACL 2019 (Oral): Code for "Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings"
  ☆41Updated 6 years ago
• uclanlp / gn_glove
  Learning Gender-Neutral Word Embeddings
  ☆47Updated 6 years ago
• microsoft / biosbias
  Code to reproduce data for Bias in Bios
  ☆48Updated 2 years ago
• TristaCao / into_inclusivecoref
  ☆14Updated 5 years ago
• ShilinHe / interpretableNLP
  A list of publications on NLP interpretability (Welcome PR)
  ☆168Updated 5 years ago
• gonenhila / gender_bias_lipstick
  ☆40Updated 6 years ago
• facebookresearch / ResponsibleNLP
  Repository for research in the field of Responsible NLP at Meta.
  ☆205Updated last week
• yrf1 / RussiaUkraine_weibo_dataset
  ☆51Updated 3 years ago
• JieyuZ2 / wrench
  [NeurIPS 2021] WRENCH: Weak supeRvision bENCHmark
  ☆226Updated last year
• zhijing-jin / CausalNLP_Papers
  A reading list for papers on causality for natural language processing (NLP)
  ☆684Updated 8 months ago