awesome_deep_learning_interpretability
深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)
Browse a collection of highly cited papers on interpreting deep learning models, complete with code examples.
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awesome_deep_learning_interpretability has 767 stars on GitHub. It has been forked 122 times. It has been in active development since 2020. awesome_deep_learning_interpretability is available under the MIT license. Its main topics are awesome, awesome-list, chainer, computer-vision.
What is awesome_deep_learning_interpretability?
深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)
Is awesome_deep_learning_interpretability open source?
awesome_deep_learning_interpretability is an open-source project. It is released under the MIT license.
Is awesome_deep_learning_interpretability free?
Yes. awesome_deep_learning_interpretability is free and open source — you can use, modify and self-host it.
What license does awesome_deep_learning_interpretability use?
awesome_deep_learning_interpretability is available under the MIT license.
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