qdata Goto Github PK
Name: QData
Type: Organization
Bio: http://www.cs.virginia.edu/yanjun/
Twitter: Qdatalab
Location: https://qdata.github.io/qdata-page/
Name: QData
Type: Organization
Bio: http://www.cs.virginia.edu/yanjun/
Twitter: Qdatalab
Location: https://qdata.github.io/qdata-page/
Style transfer for chess.
VizSec17: Web-based visualization tool for adversarial machine learning / LiveDemo
NeurIPS17: [AttentiveChrome] Attend and Predict: Using Deep Attention Model to Understand Gene Regulation by Selective Attention on Chromatin
A curated list of papers on testing NLP.
General Multi-label Image Classification with Transformers
Bioinformatics 2020: Graph Neural Networks for DNA Sequence Classification
deep learning reading group for undergrads at UVA
https://qdata.github.io/deep2Read/ This website includes a (growing) list of papers and lectures we read on deep learning and related.
Deep Reinforcement Learning for Continuous Control in Pytorch
Bioinformatics16: DeepChrome: Deep-learning for predicting gene expression from histone modifications
ICLR16: DeepCloak: Masking Deep Neural Network Models for Robustness Against Adversarial Samples
"DeepDiff: Deep-learning for predicting Differential gene expression from histone modifications", Bioinformatics, Volume 34, Issue 17,
(AAAI 2016) MUST-CNN: A Multilayer Shift-and-Stitch Deep Convolutional Architecture for Sequence-Based Protein Structure Prediction"
Deep Motif (ICLR16)/ Deep Motif Dashboard (PSB17): Visualizing Genomic Sequence Classifications
Motif Transformers for Predicting Protein-Protein Interactions Between a Novel Virus and Humans
CodeBase for Paper: "Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers", / Interactive Demo @
AISTAT2018: Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure
A version of the DeepMind Control Suite with randomly generated graphics, for measuring visual generalization in continuous control.
An evolutionary framework for evading machine learning-based malware classifiers.
Benchmarking and Visualization Tool for Adversarial Machine Learning
AISTAT 2017 Paper: A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models
Bioinformatics 2020: FastSK: Fast and Accurate Sequence Classification by making gkm-svm faster and scalable. https://fastsk.readthedocs.io/en/master/
NDSS18: Detecting Adversarial Examples in Deep Neural Networks
ECML16: GaKCo: a Fast Gapped k-mer string Kernel using Counting
ICML18: JEEK - Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models
JointNets: an end-to-end R package for sparse high-dimensional Gaussian graphical model estimation, visualization, simulation and evaluation.
ECML 2019: Graph Neural Networks for Multi-Label Classification
Sparse Latent Semantic Indexing
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.