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QData

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TextAttack

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

spacetimeformer

Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."

Jupyter Notebook

C-Tran

General Multi-label Image Classification with Transformers

AdversarialDNN-Playground

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

LaMP

ECML 2019: Graph Neural Networks for Multi-Label Classification

deepWordBug

CodeBase for Paper: "Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers", / Interactive Demo @

DeepChrome

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

deep2Read

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

DeepMotif

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

ChromeGCN

Bioinformatics 2020: Graph Neural Networks for DNA Sequence Classification

AttentiveChrome

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

TextAttack-Search-Benchmark

EMNLP BlackBox NLP 2020: Searching for a Search Method: Benchmarking Search Algorithms for Generating NLP Adversarial Examples

Jupyter Notebook

TextAttack-A2T

A2T: Towards Improving Adversarial Training of NLP Models (EMNLP 2021 Findings)

FastSK

Bioinformatics 2020: FastSK: Fast and Accurate Sequence Classification by making gkm-svm faster and scalable. https://fastsk.readthedocs.io/en/master/

DeepDiffChrome

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

GaKCo-SVM

ECML16: GaKCo: a Fast Gapped k-mer string Kernel using Counting

dmc_remastered

A version of the DeepMind Control Suite with randomly generated graphics, for measuring visual generalization in continuous control.

FeatureSqueezing

NDSS18: Detecting Adversarial Examples in Deep Neural Networks

DeepVHPPI

Motif Transformers for Predicting Protein-Protein Interactions Between a Novel Virus and Humans

Reevaluating-NLP-Adversarial-Examples

EMNLP Findings 2020: Reevaluating Adversarial Examples in Natural Language

Jupyter Notebook

DeepCloak

ICLR16: DeepCloak: Masking Deep Neural Network Models for Robustness Against Adversarial Samples

TextAttack-WebDemo

TextAttack Web Demo

Jupyter Notebook

Awesome-Robustness-Testing-for-NLP

A curated list of papers on testing NLP.

deep_control

Deep Reinforcement Learning for Continuous Control in Pytorch

PGrad

SIMULE

Machine Learning 2017 / "A constrained L1 minimization approach for estimating multiple Sparse Gaussian or Nonparanormal Graphical Models", / https://cran.r-project.org/web/packages/simule/

TextAttack-Fragile-Interpretations

MNCOVER

JointNets

JointNets: an end-to-end R package for sparse high-dimensional Gaussian graphical model estimation, visualization, simulation and evaluation.

WIGRAPH

Code for paper "Improving Interpretability via Explicit Word Interaction Graph Layer"

deep-learning-undergrad-reading-group

deep learning reading group for undergrads at UVA

FASJEM

AISTAT 2017 Paper: A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models

KDiffNet

DeepLearning4-ProteinSequenceProcessing

(AAAI 2016) MUST-CNN: A Multilayer Shift-and-Stitch Deep Convolutional Architecture for Sequence-Based Protein Structure Prediction"

TransferStringKernel

Transfer String Kernel for Cross-Context String Classification

JEEK

ICML18: JEEK - Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models