YoojuShin

CrossMatch

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

icae

The repo for In-context Autoencoder

awesome-deep-time-series-representations

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

awesome-AI-for-time-series-papers

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

flax-fm

Factorization Machine models in Flax

MQNet

TCLP

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

vidt

COVID-EENet

MDUAL

DF-TAR

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

MG-TAR

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

MORPH

MORPH

Awesome-Noisy-Labels

A Survey

TensorSparkML

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

RecencyBias

Ada-Boundary

STARE

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

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

revisit

A repository of customer revisit prediction research.

LetsPic-DL

BioNER

MTA

TRAP

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

RP-DBSCAN

FL-Sim

NETS

NETS:Extremely Fast Outlier Detection from a Data Stream via Set-Based Processing

Speech-enhancement

Deep neural network based speech enhancement toolkit

VAD

Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.