dongkuanx27 Goto Github PK
Name: Dongkuan (DK) Xu
Type: User
Company: North Carolina State University
Bio: Professor at NC State CS
Twitter: DongkuanXu
Location: Raleigh, North Carolina
Name: Dongkuan (DK) Xu
Type: User
Company: North Carolina State University
Bio: Professor at NC State CS
Twitter: DongkuanXu
Location: Raleigh, North Carolina
Adaptive Neural Network for Node Classification in Dynamic Networks (ICDM'19)
Reproducible Rapid Research for Neural Architecture Search (NAS)
code for "AttentiveNAS Improving Neural Architecture Search via Attentive Sampling"
BERT-related papers
:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling
Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
Cross-lingual Text Classification with Self-Learning
Resources for Data Centric AI
Data science interview questions and answers
Deep Co-Clustering (SDM'19)
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series (AAAI'20)
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller
Dynamic (Temporal) Knowledge Graph Completion (Reasoning)
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
links to conference publications in graph-based deep learning
Build Graph Nets in Tensorflow
I-BERT: Integer-only BERT Quantization
Deep Multi-Instance Contrastive Learning with Dual Attention for Anomaly Precursor Detection (SDM'21)
The implementation of Meta-LSTM in "Meta Multi-Task Learning for Sequence Modeling." AAAI-18
Python suite to construct benchmark machine learning datasets from the MIMIC-III clinical database.
Multi-Task Recurrent Modular Networks (AAAI'21)
Code and datasets for our AAAI'19 paper : GIRNet: Interleaved Multi-Task Recurrent State Sequence Models
Data augmentation for NLP
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.
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.