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ada-boundary

awesome-deep-time-series-representations

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

conversational-automl

A Framework for Generating an Efficient Machine Learning Model with a Few Sentences

crossmatch

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

dataset-sts

Semantic Text Similarity Dataset Hub

df-tar

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

economic-epidemiological

grogl

KAIST CS564 (Fall, 2021) Course Project

handyboard

HandyBoard: An Adjustable Split of Soft Keyboard in Landscape Mode Touch Screens

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

intellimooc

[EDM-20] IntelliMOOC: Intelligent Online Learning Framework for MOOC Platforms

itouchz.github.io

https://itouchz.github.io

jet-presentation

A Presentation Rehearsal Partner for Everyone built with Jetson Nano (KAIST, KSE624 Spring, 2020 -- Final Project)

morph

mqnet

mr.tad

Time Series Anomaly Detection with Multi-resolution Ensemble Learning

neural-predictor-tensorflow

Replication of Neural Predictor for Neural Architecture Search with Tensorflow

openjournals-draft-action

Experimental GitHub Action

recencybias

stare

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

tclp

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

tensorsparkml

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

trap

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

trepnet

TRepNet: Ensemble Denoising Autoencoder for Time Series Representation Learning