深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
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awesome-DeepLearning has 3.6k stars on GitHub. It has been forked 860 times. awesome-DeepLearning is written mainly in Jupyter Notebook. It has been in active development since 2019. awesome-DeepLearning is available under the Apache-2.0 license. Its main topics are bert, classification, cnn, detection.
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
awesome-DeepLearning is an open-source project. It is released under the Apache-2.0 license.
Yes. awesome-DeepLearning is free and open source — you can use, modify and self-host it.
awesome-DeepLearning is available under the Apache-2.0 license.
awesome-DeepLearning is written mainly in Jupyter Notebook.
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Measured from GitHub topics shared by both projects, weighted by how rare each topic is.