young-eun-nam

young-eun-nam's Stars

• thuml/Time-Series-Library

  A Library for Advanced Deep Time Series Models.

  Language:Python6.9k745101.1k

• songhwanjun/Awesome-Noisy-Labels

  A Survey

  5425131

• naver-ai/vidt

  Language:Python306172340

• itouchz/awesome-deep-time-series-representations

  A curated list of state-of-the-art papers on deep learning for universal representations of time series.

  1305013

• kaist-dmlab/MG-TAR

  [IEEE T-ITS] MG-TAR: Multi-view Graph Convolutional Networks for Traffic Accident Risk Prediction

  Language:Python5051421

• kaist-dmlab/Hi-COVIDNet

  Codes and data for the paper "Hi-COVIDNet: Deep Learning Approach to Predict Inbound COVID-19 Patients and Case Study in South Korea", KDD 2020

  Language:Jupyter Notebook34161619

• kaist-dmlab/STARE

  Ultrafast Local Outlier Detection from a Data Stream with Stationary Region Skipping

  Language:Java34141423

• kaist-dmlab/RecencyBias

  Language:Python27151621

• kaist-dmlab/TRAP

  TRAP: Two-level Regularized Autoencoder-based Embedding for Power-law Distributed Data

  Language:Jupyter Notebook276612

• kaist-dmlab/DF-TAR

  [WWW-21] DF-TAR: A Deep Fusion Network for Citywide Traffic Accident Risk Prediction with Dangerous Driving Behavior

  Language:Python265711

• kaist-dmlab/Ada-Boundary

  Language:Python24141518

• kaist-dmlab/CrossMatch

  Implementation of the paper "Context Consistency Regularization for Label Sparsity in Time Series" (ICML'23)

  Language:Python2121617

• kaist-dmlab/TensorSparkML

  TensorSparkML brings scalable in-memory machine learning to TensorFlow on Apache Spark clusters.

  Language:Python17407

• kaist-dmlab/MORPH

  125811

• kaist-dmlab/COVID-EENet

  Language:Python7522

• kaist-dmlab/Time-CAD

  [ECML PKDD 2023] Context-Aware Deep Time-Series Decomposition for Anomaly Detection in Businesses

  Language:Jupyter Notebook4201

• kaist-dmlab/AnoViz

  [AAAI-23] AnoViz: A Visual Inspection Tool of Anomalies in Multivariate Time Series

  Language:Python3200

• young-eun-nam/MQNet

  Language:Python1000

• young-eun-nam/TCLP

  Implementation of ICLR'22 Coherence-based Label Propagation over Time Series for Accelerated Active Learning

  Language:Python1000