kdd2018

There are 0 repository under kdd2018 topic.

khundman / telemanom
A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
deep-learning lstm time-series keras tensorflow kdd2018 kdd rnn anomaly-detection
Language:Jupyter Notebook 976
drawbridge / keras-mmoe
A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)
data-science deep-learning deep-neural-networks kdd2018 keras machine-learning mixture-of-experts multi-task-learning tensorflow
Language:Python 675
yaqingwang / EANN-KDD18
EANN: event-adversarial neural networks for multi-modal fake news detection
adversarial-networks deep-learning fake-news social-media kdd2018
Language:Python 218
AmazaspShumik / mtlearn
Multi-Task Learning package built with tensorflow 2 (Multi-Gate Mixture of Experts, Cross-Stitch, Ucertainty Weighting)
multitask-learning mixture-of-experts kdd2018 recsys2019 experts papers-reproduced papers-with-code tensorflow2 keras cross-stitch multi-task-learning
Language:Python 51
pouyaesm / kdd2018_air_pollution_prediction
KDD2018 CUP - Predicting air pollutants for next 48 hours in London and Beijing using Deep Learning
deep-learning tensorflow kdd2018 cnn lstm neural-network time-series time-series-prediction
Language:Python 26
Miketalent / 2018KDD-Air-Pollution-Forecast
30-day air pollution index forecast for Beijing and London
datascience machinelearning r random-forest svm weather-forecast kdd2018
Language:Jupyter Notebook 1

kdd2018

khundman / telemanom

drawbridge / keras-mmoe

yaqingwang / EANN-KDD18

AmazaspShumik / mtlearn

pouyaesm / kdd2018_air_pollution_prediction

Miketalent / 2018KDD-Air-Pollution-Forecast