Cleanlab's repositories
cleanvision
Automatically find issues in image datasets and practice data-centric computer vision.
label-errors
🛠️ Corrected Test Sets for ImageNet, MNIST, CIFAR, Caltech-256, QuickDraw, IMDB, Amazon Reviews, 20News, and AudioSet
multiannotator-benchmarks
Benchmarking algorithms for assessing quality of data labeled by multiple annotators
cleanlab-studio
Client interface for all things Cleanlab Studio
cleanvision-examples
Notebooks demonstrating example applications of the cleanvision library
cleanlab-tools
Miscellaneous code made available for purposes of education, reproducibility, and transparency
ood-detection-benchmarks
Evaluation of algorithms to detect out-of-distribution data
aws-marketplace
Documentation and Example Notebooks for using AWS Marketplace solutions from Cleanlab
regression-label-error-benchmark
Benchmark algorithms to detect erroneous label values in regression datasets
token-label-error-benchmarks
Benchmarking methods for label error detection in token classification tasks
cleanlab-studio-tutorials
Automated repo - do not touch
multilabel-error-detection-benchmarks
Benchmarking label error detection algorithms for multi-label classification
autogluon-contrib-nlp
NLP Package that supports the AutoGluon Text functionality. Will be replaced by GluonNLP V 1.0 later. (https://github.com/dmlc/gluon-nlp)
cleanlab-frontend-scaffolding
Starter code for the senior frontend technical challenge.