Pinned repositories

  1. DeepChrome

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

    Lua 29 8

  2. DeepMotif

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

    Lua 27 10

  3. AdversarialDNN-Playground

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

    Python 47 12

  4. AttentiveChrome

    NIPS17: [AttentiveChrome] Attend and Predict: Using Deep Attention Model to Understand Gene Regulation by Selective Attention on Chromatin

    Lua 9 4

  5. deep2Read

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

    CSS 18 4

  6. JEEK

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

    R

  • CSS Updated Jul 18, 2018
  • AISTAT 2017 Paper: A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models

    R 1 Updated Jul 18, 2018
  • C++ 1 GPL-3.0 Updated Jul 13, 2018
  • R Updated Jul 13, 2018
  • https://qdata.github.io/deep2Read/ This website includes a (growing) list of papers and lectures we read about deep learning and related.

    CSS 18 4 Updated Jul 12, 2018
  • ICML18: JEEK - Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models

    R Updated Jul 12, 2018
  • Python 2 Updated Jul 12, 2018
  • ECML16: GaKCo: a Fast Gapped k-mer string Kernel using Counting

    C++ 8 5 GPL-3.0 Updated Jul 10, 2018
  • R 3 Updated Jul 3, 2018
  • AISTAT2018: Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure

    R Updated Jul 3, 2018
  • CSS 1 GPL-3.0 Updated Jun 28, 2018
  • CSS 1 Updated Jun 22, 2018
  • NIPS17: [AttentiveChrome] Attend and Predict: Using Deep Attention Model to Understand Gene Regulation by Selective Attention on Chromatin

    Lua 9 4 MIT Updated Mar 9, 2018
  • Bioinformatics16: DeepChrome: Deep-learning for predicting gene expression from histone modifications

    Lua 29 8 Updated Mar 9, 2018
  • Benchmarking and Visualization Tool for Adversarial Machine Learning

    Python 2 21 MIT Updated Jan 10, 2018
  • VizSec17: Web-based visualization tool for adversarial machine learning / LiveDemo

    Python 47 12 Updated Oct 23, 2017
  • Deep Motif (ICLR16)/ Deep Motif Dashboard (PSB17): Visualizing Genomic Sequence Classifications

    Lua 27 10 MIT Updated Jul 5, 2017
  • ICLR16: DeepCloak: Masking Deep Neural Network Models for Robustness Against Adversarial Samples

    Lua 5 Updated May 30, 2017
  • Detecting Adversarial Examples in Deep Neural Networks

    Python 6 MIT Updated Apr 20, 2017
  • Transfer String Kernel for Cross-Context String Classification

    Matlab GPL-2.0 Updated Sep 20, 2016
  • A Deep-Learning based Multi-Task Framework for Protein Sequence Labeling / Local Structural Property Prediction on biological Sequences

    Lua 3 GPL-2.0 Updated Aug 4, 2016
  • MUST-CNN: A Multilayer Shift-and-Stitch Deep Convolutional Architecture for Sequence-based Protein Structure Prediction

    Lua 4 Updated Jul 22, 2016
  • An evolutionary framework for evading machine learning-based malware classifiers.

    CSS 32 MIT Updated Jul 3, 2016
  • Matlab 5 GPL-2.0 Updated Jul 8, 2015
  • Code for Learning Dependency Graph between Latent Factors from Data

    R 2 MIT Updated May 18, 2015
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