cleanlab / multiannotator-benchmarks
Benchmarking algorithms for assessing quality of data labeled by multiple annotators
☆31Updated last year
Related projects ⓘ
Alternatives and complementary repositories for multiannotator-benchmarks
- Embedding Recycling for Language models☆38Updated last year
- Advances in Neural Information Processing Systems (NeurIPS 2021)☆22Updated 2 years ago
- Ranking of fine-tuned HF models as base models.☆35Updated last year
- Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.☆38Updated 7 months ago
- A weak supervision framework for (partial) labeling functions☆14Updated 4 months ago
- This is the official PyTorch repo for "UNIREX: A Unified Learning Framework for Language Model Rationale Extraction" (ICML 2022).☆23Updated last year
- A hands-on tutorial on how to use Active Learning with Transformer models.☆14Updated 3 years ago
- A package for fine tuning of pretrained NLP transformers using Semi Supervised Learning☆15Updated 3 years ago
- PyTorch implementation for MRL☆18Updated 9 months ago
- ☆24Updated 3 years ago
- Finding semantically meaningful and accurate prompts.☆46Updated last year
- ☆28Updated last year
- ☆46Updated this week
- ☆24Updated last year
- SMASHED is a toolkit designed to apply transformations to samples in datasets, such as fields extraction, tokenization, prompting, batchi…☆31Updated 5 months ago
- Parkar and Kim et al.'s paper on Can LLMs Select Important Instructions to Annotate?"☆12Updated 4 months ago
- Companion Repo for the Vision Language Modelling YouTube series - https://bit.ly/3PsbsC2 - by Prithivi Da. Open to PRs and collaborations☆14Updated 2 years ago
- Code for our EMNLP '22 paper "Fixing Model Bugs with Natural Language Patches"☆19Updated last year
- Plug-and-play Search Interfaces with Pyserini and Hugging Face☆32Updated last year
- Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling☆30Updated 3 years ago
- Official PyTorch implementation of "Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data" (NeurIPS'23)☆15Updated 11 months ago
- This library supports evaluating disparities in generated image quality, diversity, and consistency between geographic regions.☆20Updated 5 months ago
- This repo contains code for the paper: "Can Foundation Models Help Us Achieve Perfect Secrecy?"☆24Updated last year
- Google Research☆46Updated 2 years ago
- Repository containing awesome resources regarding Hugging Face tooling.☆43Updated 10 months ago
- Implementation of TableFormer, Robust Transformer Modeling for Table-Text Encoding, in Pytorch☆36Updated 2 years ago
- Repository for the paper Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning☆37Updated last year
- Code for "Open Vocabulary Extreme Classification Using Generative Models"☆24Updated 2 years ago
- Tree prompting: easy-to-use scikit-learn interface for improved prompting.☆33Updated last year
- ☆28Updated last year