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adversarialchess

Style transfer for chess.

adversarialdnn-playground

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

attentivechrome

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

awesome-robustness-testing-for-nlp

A curated list of papers on testing NLP.

c-tran

General Multi-label Image Classification with Transformers

chromegcn

Bioinformatics 2020: Graph Neural Networks for DNA Sequence Classification

deep-learning-undergrad-reading-group

deep learning reading group for undergrads at UVA

deep2read

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

deep_control

Deep Reinforcement Learning for Continuous Control in Pytorch

deepchrome

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

deepcloak

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

deepdiffchrome

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

deeplearning4-proteinsequenceprocessing

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

deepmotif

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

deepvhppi

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

deepwordbug

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

diffee

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

dmc_remastered

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

evademl

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

evademl-zoo

Benchmarking and Visualization Tool for Adversarial Machine Learning

fasjem

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

fastsk

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

featuresqueezing

NDSS18: Detecting Adversarial Examples in Deep Neural Networks

gakco-svm

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

jeek

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

jointnets

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

kdiffnet

lamp

ECML 2019: Graph Neural Networks for Multi-Label Classification

mncover

paper10-sparselsa

Sparse Latent Semantic Indexing