Zezhong Li (lzz19980125)

lzz19980125

Geek Repo

Company:Tianjin University

Location:Tianjin, China

Home Page:lizz1998@tju.edu.cn

Github PK Tool:Github PK Tool

Zezhong Li's repositories

awesome-time-series-segmentation-papers

This repository contains a reading list of papers on Time Series Segmentation. This repository is still being continuously improved.

Language:MATLABLicense:GPL-3.0Stargazers:300Issues:3Issues:2

awesome-multivariate-time-series-clustering-algorithms

This repo collects effective multivariate time series clustering codes.

Stargazers:19Issues:0Issues:0
Language:GoStargazers:3Issues:0Issues:0

decomposed-transformer

Python re-implementation of decomposed transformer for multivariate time series anomaly detection (IEEE BigData '22)

Language:PythonLicense:GPL-3.0Stargazers:1Issues:0Issues:0
Language:HTMLStargazers:1Issues:0Issues:0

Time-Series-Library

A Library for Advanced Deep Time Series Models.

Language:ShellLicense:MITStargazers:1Issues:0Issues:0

configuration

configurations of my computer and my brain

Language:C++Stargazers:0Issues:0Issues:0

DeepOD

Deep learning-based outlier/anomaly detection

Language:PythonLicense:BSD-2-ClauseStargazers:0Issues:1Issues:0
Language:JavaStargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0

eTaPR

eTaPR

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

learning_research

本人的科研经验

Stargazers:0Issues:0Issues:0

LibMTL

A PyTorch Library for Multi-Task Learning

Language:PythonLicense:MITStargazers:0Issues:1Issues:0
Stargazers:0Issues:0Issues:0

nyc-taxi-data

Import public NYC taxi and for-hire vehicle (Uber, Lyft) trip data into a PostgreSQL or ClickHouse database

License:MITStargazers:0Issues:0Issues:0

pytorch-deep-learning

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

License:MITStargazers:0Issues:0Issues:0

RNN-Time-series-Anomaly-Detection

RNN based Time-series Anomaly detector model implemented in Pytorch.

License:Apache-2.0Stargazers:0Issues:0Issues:0

TADNet

Code for ICASSP 2024 paper "Unravel Anomalies: An End-to-end Seasonal-Trend Decomposition Approach for Time Series Anomaly Detection".

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

License:NOASSERTIONStargazers:0Issues:0Issues:0
Language:PythonStargazers:0Issues:0Issues:0