Deep-Learning Model Exploration and Development for NLP
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Updated
Oct 13, 2023 - Python
Deep-Learning Model Exploration and Development for NLP
[CVPR 2020] When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks
Graph SuperResolution Network using geometric deep learning.
Official Code for AdvRush: Searching for Adversarially Robust Neural Architectures (ICCV '21)
Exploring RL ideas for deep neural network hyper-parameter search
Implementing and training/testing popular model architectures on the CIFAR10 dataset.
Deep Learning papers reading roadmap for anyone who is eager to learn this amazing tech!
🌻 Deep Learning models implemented in PyTorch Lightning
Code release for "Relaxed Weight Sharing: Effectively Modeling Time-Varying Relationships in Clinical Time-Series" (Oh, Wang, Tang, Sjoding, Wiens), MLHC 2019. https://arxiv.org/abs/1906.02898
Code release for "Learning to Exploit Invariances in Clinical Time-Series Data Using Sequence Transformer Networks" (Oh, Wang, Wiens), MLHC 2018. https://arxiv.org/abs/1808.06725
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