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LIU, Jinyang's Projects

autoint icon autoint

Implementation of AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks

cv icon cv

My CV (I am looking for a Ph.D. position on Recommendation System)

dl-4-tsc icon dl-4-tsc

Deep Learning for Time Series Classification

dtcr icon dtcr

The paper "Learning Representations for Time Series Clustering"

esim icon esim

Implementation of the ESIM model for natural language inference with PyTorch

hands-on-machine-learning icon hands-on-machine-learning

A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

loglizer icon loglizer

A log analysis toolkit for automated anomaly detection [ISSRE'16]

metrics icon metrics

Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave

mtad-gat-pytorch icon mtad-gat-pytorch

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

omnianomaly icon omnianomaly

KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network

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