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PublicGeneral Multi-label Image Classification with Transformers- TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
- ECML 2019: Graph Neural Networks for Multi-Label Classification
- https://qdata.github.io/deep2Read/ This website includes a (growing) list of papers and lectures we read on deep learning and related.
ST-MAML
Public- VizSec17: Web-based visualization tool for adversarial machine learning / LiveDemo
deepWordBug
PublicWIGRAPH
PublicFastSK
PublicBioinformatics 2020: FastSK: Fast and Accurate Sequence Classification by making gkm-svm faster and scalable. https://fastsk.readthedocs.io/en/master/DeepVHPPI
PublicTextAttack-WebDemo
PublicTextAttack Web DemoMNCOVER
PublicKDiffNet
PublicTextAttack-A2T
Publicdeep_control
PublicDeepChrome
PublicBioinformatics16: DeepChrome: Deep-learning for predicting gene expression from histone modificationsAttentiveChrome
PublicNeurIPS17: [AttentiveChrome] Attend and Predict: Using Deep Attention Model to Understand Gene Regulation by Selective Attention on ChromatinChromeGCN
PublicBioinformatics 2020: Graph Neural Networks for DNA Sequence Classification- EMNLP Findings 2020: Reevaluating Adversarial Examples in Natural Language
dmc_remastered
PublicAwesome-Robustness-Testing-for-NLP
Public template- EMNLP BlackBox NLP 2020: Searching for a Search Method: Benchmarking Search Algorithms for Generating NLP Adversarial Examples
DeepDiffChrome
Public