My assignments of the Natural Language Processing Specialization provided by DeepLearning.AI
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Updated
Dec 7, 2022 - Jupyter Notebook
My assignments of the Natural Language Processing Specialization provided by DeepLearning.AI
A collection of papers & notes in deep learning and database.
Empirical analysis of the Laplace and neural tangent kernel reproducing kernel Hilbert space (RKHS)
Infinite-width neural networks from a practical point of view
[Neurips 2022] "Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis" by Wuyang Chen*, Wei Huang*, Xinyu Gong, Boris Hanin, Zhangyang Wang
A Python implementation of the Neural Tangent Kernel (jacot et al, 2018)
Convolutions and more as einsum for PyTorch
Neural Tangent Kernel (NTK) module for the scikit-learn library
"Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics" by Wuyang Chen, Xinyu Gong, Yunchao Wei, Humphrey Shi, Zhicheng Yan, Yi Yang, and Zhangyang Wang
[ICLR 2021] "Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective" by Wuyang Chen, Xinyu Gong, Zhangyang Wang
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