cleanlab：机器学习的标准包，带有嘈杂的标签并在Python中查找标签错误的数据
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2021-02-03
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cleanlab-master.zip （85个子文件） 
cleanlab-master 
setup.py 3KB .gitignore 1KB .coveragerc_py34 760B .coveragerc_py3 690B
requirements.txt 47B .travis.yml 7KB .coveragerc_py27 833B CONTRIBUTING.md 366B LICENSE 1KB cleanlab classification.py 18KB __init__.py 249B noise_generation.py 16KB coteaching.py 7KB latent_estimation.py 38KB models cifar_cnn.py 3KB mnist_pytorch.py 9KB __init__.py 0B README.md 802B fasttext.py 11KB baseline_methods.py 3KB util.py 14KB polyplex.py 4KB pruning.py 23KB version.py 3KB latent_algebra.py 11KB .github FUNDING.yml 46B examples cifar100 cifar100_train_crossval.py 24KB simplifying_confident_learning_tutorial.py 7KB model_selection_demo.ipynb 9KB cifar10 cifar10_train_crossval.py 29KB __init__.py 0B README.md 21KB experiments.bash 25KB drawing_polyplices.ipynb 1.13MB visualizing_confident_learning.ipynb 19KB classifier_comparison.py 12KB model_selection_demo.py 5KB drawing_polyplices.py 6KB visualizing_confident_learning.py 11KB iris_simple_example.ipynb 129KB README.md 2KB classifier_comparison.ipynb 4.91MB imagenet PAPER_FIGURE_imagenet_learning_with_noise_removed.ipynb 1.38MB optimizing_gpu_workload.py 5KB create_random_train_bool_mask.py 3KB imagenet_train_label_errors.ipynb 13.9MB create_random_train_bool_mask.ipynb 5KB imagenet_similar_classes.ipynb 77KB __init__.py 0B imagenet_train_label_errors.py 9KB PAPER_FIGURE_imagenet_learning_with_noise_removed.py 29KB imagenet_train_crossval_example_commands.txt 10KB imagenet_val_label_error_indices imagenet_val_label_errors.txt 905KB imagenet_val_label_errors_unique_id_only.txt 191KB README.md 2KB imagenet_similar_classes.py 13KB optimizing_gpu_workload.ipynb 78KB imagenet_train_crossval.py 24KB simplifying_confident_learning_tutorial.ipynb 13KB iris_simple_example.py 7KB mnist label_errors_mnist_test_cnn.ipynb 238KB label_errors_mnist_train_logreg.py 8KB label_errors_mnist_test_cnn.py 9KB README.md 691B label_errors_mnist_train_cnn.ipynb 513KB label_errors_mnist_train_logreg.ipynb 5.2MB label_errors_mnist_train_cnn.py 9KB README.rst 28KB tests test_classification.py 10KB deprecated_test_model_fasttext.py 10KB test_noise_generation.py 7KB test_polyplex.py 1KB test_baseline_methods.py 5KB test_util.py 3KB test_latent_estimation_and_pruning.py 10KB test_latent.py 3KB test_model_pytorch_cnn.py 5KB get_cooking_stackexchange_data.sh 717B img 
cleanlab_logo.png 64KB mnist_training_label_errors24_prune_by_noise_rate.png 191KB
imagenet_train_label_errors_32.jpg 1019KB mnist_test_label_errors8.png 112KB cifar10_benchmarks.png 146KB demo_cleanlab_across_datasets_and_classifiers.png 1.28MB tox.ini 857B资源评论
