CLTNB666's Stars
HKUDS/UrbanGPT
[KDD'2024] "UrbanGPT: Spatio-Temporal Large Language Models"
autogluon/autogluon
Fast and Accurate ML in 3 Lines of Code
tslearn-team/tslearn
The machine learning toolkit for time series analysis in Python
sktime/pytorch-forecasting
Time series forecasting with PyTorch
awslabs/gluonts
Probabilistic time series modeling in Python
facebookresearch/Kats
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
unit8co/darts
A python library for user-friendly forecasting and anomaly detection on time series.
facebook/prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
qingsongedu/time-series-transformers-review
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
thuml/Time-Series-Library
A Library for Advanced Deep Time Series Models.
jgraph/drawio-desktop
Official electron build of draw.io
wanghq21/MICN
Code release of paper "MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting" (ICLR 2023)
Thinklab-SJTU/Crossformer
Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"
yuqinie98/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
2448845600/KAN4TSF
GestaltCogTeam/BasicTS
A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.
Hank0626/PDF
An official implementation of "Periodicity Decoupling Framework for Long-term Series Forecasting" (ICLR 2024)
google-research/vision_transformer
Zeying-Gong/PatchMixer
About Code release for "PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting"
fudan-zvg/SeaFormer
[ICLR 2023] SeaFormer: Squeeze-enhanced Axial Transformer for Mobile Semantic Segmentation
Hannibal046/GridTST
Source code for Leveraging 2D Information for Long-term Time Series Forecasting with Vanilla Transformers
KimMeen/Time-LLM
[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"
Nixtla/nixtla
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
google-research/timesfm
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
decisionintelligence/TFB
[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
poloclub/cnn-explainer
Learning Convolutional Neural Networks with Interactive Visualization.
Alro10/deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
xiyuanzh/time-series-papers
An up-to-date list of time-series related papers in AI venues.
qingsongedu/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.
ddz16/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.