文件名称：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
文件大小：23.38MB
文件格式：ZIP
更新时间：2024-02-23 23:15:56
machine-learning machine-learning-algorithms weak-supervision semi-supervised-learning unsupervised-learning
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
【文件预览】：
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()
--------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()
--------simplifying_confident_learning_tutorial.py(7KB)
--------model_selection_demo.ipynb(9KB)
--------cifar10()
--------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()
--------simplifying_confident_learning_tutorial.ipynb(13KB)
--------iris_simple_example.py(7KB)
--------mnist()
----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)