maolin wang (wml161518)

wml161518

Geek Repo

Github PK Tool:Github PK Tool

maolin wang's starred repositories

Deep-Live-Cam

real time face swap and one-click video deepfake with only a single image

Language:PythonLicense:AGPL-3.0Stargazers:27505Issues:0Issues:0

GitHubDaily

坚持分享 GitHub 上高质量、有趣实用的开源技术教程、开发者工具、编程网站、技术资讯。A list cool, interesting projects of GitHub.

Stargazers:31552Issues:0Issues:0

hello-algo

《Hello 算法》:动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新,English version ongoing

Language:JavaLicense:NOASSERTIONStargazers:93567Issues:0Issues:0

Time-Series-Library

A Library for Advanced Deep Time Series Models.

Language:PythonLicense:MITStargazers:5911Issues:0Issues:0

FreDF

Repository for "FreDF: Learning to Forecast in the Transformed Domain"

Language:ShellLicense:MITStargazers:47Issues:0Issues:0
Language:PythonStargazers:14Issues:0Issues:0

Time-Evidence-Fusion-Network

Official implementation of "Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting" (https://arxiv.org/abs/2405.06419)

Language:PythonLicense:MITStargazers:56Issues:0Issues:0

SOFTS

Official implement for "SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion" in PyTorch.

Language:PythonLicense:MITStargazers:124Issues:0Issues:0

MSGNet

MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)

Language:PythonStargazers:100Issues:0Issues:0

MambaOut

MambaOut: Do We Really Need Mamba for Vision?

Language:PythonLicense:Apache-2.0Stargazers:1939Issues:0Issues:0

Minusformer

Improving Time Series Forecasting by Progressively Learning Residuals

Language:PythonStargazers:46Issues:0Issues:0

TFB

TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods (PVLDB 2024) https://www.vldb.org/pvldb/vol17/p2363-hu.pdf

Language:ShellLicense:MITStargazers:237Issues:0Issues:0

Time-Series-Forecasting-and-Deep-Learning

Resources about time series forecasting and deep learning.

Stargazers:505Issues:0Issues:0
Language:PythonStargazers:46Issues:0Issues:0

S-D-Mamba

Code for "Is Mamba Effective for Time Series Forecasting?"

Language:PythonStargazers:161Issues:0Issues:0

TSFpaper

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.

Stargazers:1783Issues:0Issues:0

leetcode-master

《代码随想录》LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,支持C++,Java,Python,Go,JavaScript等多语言版本,从此算法学习不再迷茫!🔥🔥 来看看,你会发现相见恨晚!🚀

Language:ShellStargazers:49987Issues:0Issues:0

simba

Simba

Language:PythonStargazers:169Issues:0Issues:0

mamba

Mamba SSM architecture

Language:PythonLicense:Apache-2.0Stargazers:12233Issues:0Issues:0

TimeMachine

TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting

Language:PythonLicense:Apache-2.0Stargazers:135Issues:0Issues:0
Language:PythonLicense:MITStargazers:43Issues:0Issues:0

AirFormer

PyTorch implementation of AirFormer, AAAI-23

Language:PythonStargazers:96Issues:0Issues:0

DeepLearningExamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Language:Jupyter NotebookStargazers:13140Issues:0Issues:0

Dish-TS

Time Series Forecasting, Distribution Shift

Language:PythonStargazers:69Issues:0Issues:0

BasicTS

A Standard and Fair Time Series Forecasting Benchmark and Toolkit.

Language:PythonLicense:Apache-2.0Stargazers:498Issues:0Issues:0

TimesNet

About Code release for "TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis" (ICLR 2023), https://openreview.net/pdf?id=ju_Uqw384Oq

License:MITStargazers:668Issues:0Issues:0

PatchMixer

About Code release for "PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting"

Language:PythonLicense:MITStargazers:165Issues:0Issues:0

PatchTST

An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730

Language:PythonLicense:Apache-2.0Stargazers:1463Issues:0Issues:0

STEP

Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.

Language:PythonLicense:Apache-2.0Stargazers:326Issues:0Issues:0

STID

Code for our CIKM'22 paper Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting.

Language:PythonStargazers:176Issues:0Issues:0