QData

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/DeepMotif

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

QData/TextAttack-Search-Benchmark

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

QData/DeepDiffChrome

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

QData/GaKCo-SVM

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

QData/FeatureSqueezing

NDSS18: Detecting Adversarial Examples in Deep Neural Networks

QData/DeepCloak

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

QData/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/

QData/JointNets

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

QData/deep-learning-undergrad-reading-group

deep learning reading group for undergrads at UVA

QData/EvadeML-Zoo

Benchmarking and Visualization Tool for Adversarial Machine Learning

QData/FASJEM

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

QData/AdversarialChess

Style transfer for chess.

QData/DeepLearning4-ProteinSequenceProcessing

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

QData/JEEK

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

QData/TransferStringKernel

Transfer String Kernel for Cross-Context String Classification

QData/DIFFEE

AISTAT2018: Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure

QData/EvadeML

An evolutionary framework for evading machine learning-based malware classifiers.

QData/Paper10-SparseLSA

Sparse Latent Semantic Indexing

QData/Paper12-NIPS-SparseGGM4LatentFactors

Code for Learning Dependency Graph between Latent Factors from Data

QData/Paper12-PlosOne-DeepProteinMultitaskTagging

A Deep-Learning based Multi-Task Framework for Protein Sequence Labeling / Local Structural Property Prediction on biological Sequences

QData/Paper15-MetricLearn4CancerExpression

QData/RF4Bioinformatics

code for book chapter "random forest for Bioinformatics"