Alternatives and similar repositories for Fast-Dawid-Skene

Users that are interested in Fast-Dawid-Skene are comparing it to the libraries listed below

• dallascard / dawid_skene
  Implementation of the estimator for combining noisy observations from Dawid and Skene (1979)
  ☆40Updated 10 years ago
• peterbhase / InterpretableNLP-ACL2020
  Code for "Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?"
  ☆45Updated last year
• acmi-lab / counterfactually-augmented-data
  Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
  ☆170Updated 4 years ago
• harsh19 / SPINE
  Code for SPINE - Sparse Interpretable Neural Embeddings. Jhamtani H.*, Pruthi D.*, Subramanian A.*, Berg-Kirkpatrick T., Hovy E. AAAI 20…
  ☆52Updated 5 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
• harmanpreet93 / poincare-embedding-using-gensim
  Train poincare embedding using gensim
  ☆19Updated 7 years ago
• sarahwie / attention
  Code for EMNLP 2019 paper "Attention is not not Explanation"
  ☆58Updated 4 years ago
• tanyuqian / learning-data-manipulation
  NeurIPS 2019 - Learning Data Manipulation for Augmentation and Weighting
  ☆109Updated 4 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
• i-machine-think / diagNNose
  diagNNose is a Python library that facilitates a broad set of tools for analysing hidden activations of neural models.
  ☆82Updated last year
• wuningxi / Talks
  Slides from previous talks.
  ☆29Updated last year
• rpryzant / deconfounded-lexicon-induction
  Find text features that are most related to an outcome, controlling for confounds.
  ☆60Updated last year
• IBM / HOTT
  Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"
  ☆54Updated 5 years ago
• uclanlp / reducingbias
  ☆83Updated 4 years ago
• text-machine-lab / adversarial_decomposition
  The code for the paper "Adversarial Decomposition of Text Representation", NAACL 2019
  ☆29Updated 2 years ago
• successar / FRESH
  ☆27Updated 2 years ago
• urvashik / lm-context-analysis
  Code for the ACL 2018 paper "Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context"
  ☆54Updated 7 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 11 months ago
• eyalbd2 / PERL
  Official code for the paper "PERL: Pivot-based Domain Adaptation for Pre-trained Deep Contextualized Embedding Models".
  ☆16Updated 2 years ago
• TimDettmers / transformer-xl
  ☆64Updated 5 years ago
• marcotcr / sears
  Code for "Semantically Equivalent Adversarial Rules for Debugging NLP Models"
  ☆87Updated 6 years ago
• pmichel31415 / teapot-nlp
  Tool for Evaluating Adversarial Perturbations on Text
  ☆61Updated 3 years ago
• abisee / story-generation-eval
  Code for the paper "Do Massively Pretrained Language Models Make Better Storytellers?"
  ☆76Updated 3 years ago
• fdalvi / NeuroX-demo
  ☆66Updated 2 years ago
• sronnqvist / doc2topic
  Neural topic modeling
  ☆29Updated 4 years ago
• salesforce / fast-influence-functions
  ☆89Updated 3 months ago
• dallascard / NLP-power-analysis
  Replication code for "With Little Power Comes Great Responsibility"
  ☆39Updated 4 years ago
• uwnlp / verbphysics
  Maxwell Forbes & Yejin Choi — ACL 2017
  ☆25Updated 3 years ago
• begab / mamus
  Source code accompanying the ICLR2020 publication 'Massively Multilingual Sparse Word Representations' https://openreview.net/forum?id=Hy…
  ☆13Updated last year
• ethanjperez / rda
  Code for "Rissanen Data Analysis: Examining Dataset Characteristics via Description Length" by Ethan Perez, Douwe Kiela, and Kyungyhun Ch…
  ☆36Updated 4 years ago