QData

General Multi-label Image Classification with Transformers

QData

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

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VizSec17: Web-based visualization tool for adversarial machine learning / LiveDemo

QData

https://qdata.github.io/deep2Read/ This website includes a (growing) list of papers and lectures we read on deep learning and related.

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Bioinformatics16: DeepChrome: Deep-learning for predicting gene expression from histone modifications

QData

ECML 2019: Graph Neural Networks for Multi-Label Classification

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NeurIPS17: [AttentiveChrome] Attend and Predict: Using Deep Attention Model to Understand Gene Regulation by Selective Attention on Chromatin

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Bioinformatics 2020: Graph Neural Networks for DNA Sequence Classification

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"DeepDiff: Deep-learning for predicting Differential gene expression from histone modifications", Bioinformatics, Volume 34, Issue 17,

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Deep Motif (ICLR16)/ Deep Motif Dashboard (PSB17): Visualizing Genomic Sequence Classifications

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