Pinned Repositories
AdversarialDNN-Playground
VizSec17: Web-based visualization tool for adversarial machine learning / LiveDemo
C-Tran
General Multi-label Image Classification with Transformers
deep2Read
https://qdata.github.io/deep2Read/ This website includes a (growing) list of papers and lectures we read on deep learning and related.
DeepChrome
Bioinformatics16: DeepChrome: Deep-learning for predicting gene expression from histone modifications
deepWordBug
CodeBase for Paper: "Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers", / Interactive Demo @
LaMP
ECML 2019: Graph Neural Networks for Multi-Label Classification
PGrad
qdata-page
https://qdata.github.io/qdata-page/
spacetimeformer
Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."
TextAttack
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
QData's Repositories
QData/TextAttack
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
QData/spacetimeformer
Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."
QData/C-Tran
General Multi-label Image Classification with Transformers
QData/AdversarialDNN-Playground
VizSec17: Web-based visualization tool for adversarial machine learning / LiveDemo
QData/LaMP
ECML 2019: Graph Neural Networks for Multi-Label Classification
QData/deepWordBug
CodeBase for Paper: "Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers", / Interactive Demo @
QData/DeepChrome
Bioinformatics16: DeepChrome: Deep-learning for predicting gene expression from histone modifications
QData/deep2Read
https://qdata.github.io/deep2Read/ This website includes a (growing) list of papers and lectures we read on deep learning and related.
QData/ChromeGCN
Bioinformatics 2020: Graph Neural Networks for DNA Sequence Classification
QData/AttentiveChrome
NeurIPS17: [AttentiveChrome] Attend and Predict: Using Deep Attention Model to Understand Gene Regulation by Selective Attention on Chromatin
QData/TextAttack-A2T
A2T: Towards Improving Adversarial Training of NLP Models (EMNLP 2021 Findings)
QData/FastSK
Bioinformatics 2020: FastSK: Fast and Accurate Sequence Classification by making gkm-svm faster and scalable. https://fastsk.readthedocs.io/en/master/
QData/dmc_remastered
A version of the DeepMind Control Suite with randomly generated graphics, for measuring visual generalization in continuous control.
QData/DeepVHPPI
Motif Transformers for Predicting Protein-Protein Interactions Between a Novel Virus and Humans
QData/PGrad
QData/Reevaluating-NLP-Adversarial-Examples
EMNLP Findings 2020: Reevaluating Adversarial Examples in Natural Language
QData/Awesome-Robustness-Testing-for-NLP
A curated list of papers on testing NLP.
QData/TextAttack-WebDemo
TextAttack Web Demo
QData/deep_control
Deep Reinforcement Learning for Continuous Control in Pytorch
QData/MNCOVER
QData/TextAttack-Fragile-Interpretations
QData/WIGRAPH
Code for paper "Improving Interpretability via Explicit Word Interaction Graph Layer"
QData/super_sac
A general model-free off-policy actor-critic implementation. Continuous and Discrete Soft Actor-Critic with multimodal observations, data augmentation, offline learning and behavioral cloning.
QData/KDiffNet
QData/qdata-page
https://qdata.github.io/qdata-page/
QData/TextAttack-PromptAug
QData/ST-MAML
QData/ALTA_Augmented_Adversarial_Trigger_Learning
QData/TextAttack-Multilabel
QData/TextAttack-TAE-Bench