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.
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Nov 21, 2022 - Jupyter Notebook
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kdd2018
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A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)
data-science machine-learning deep-neural-networks deep-learning tensorflow keras multi-task-learning kdd2018 mixture-of-experts
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Mar 25, 2023 - Python
EANN: event-adversarial neural networks for multi-modal fake news detection
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Jul 28, 2020 - Python
Multi-Task Learning package built with tensorflow 2 (Multi-Gate Mixture of Experts, Cross-Stitch, Ucertainty Weighting)
keras experts multi-task-learning cross-stitch multitask-learning kdd2018 mixture-of-experts tensorflow2 recsys2019 papers-with-code papers-reproduced
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Jan 20, 2020 - Python
KDD2018 CUP - Predicting air pollutants for next 48 hours in London and Beijing using Deep Learning
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Dec 8, 2018 - Python
30-day air pollution index forecast for Beijing and London
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Jun 4, 2018 - Jupyter Notebook
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