Stars
Chinese-Text-Classification Project including bert-classification, textCNN and so on.
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting (WWW 2024)
955 不加班的公司名单 - 工作 955，work–life balance (工作与生活的平衡)
This Python function dm_test implements the Diebold-Mariano Test (1995) to statistically test forecast accuracy equivalence for 2 sets of predictions with modification suggested by Harvey et. al (1…
This project is the pytorch implementation version of Multilevel Wavelet Decomposition Network.
PaddleSpatial is an open-source spatial-temporal computing tool based on PaddlePaddle.
Machine Learning Methods for Magnetic Modeling
A Library for Advanced Deep Time Series Models.
Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Multi-Step Spatio-Temporal Forecasting: https://authors.elsevier.com/sd/article/S0306-2619(22)01822-0
FITS: Frequency Interpolation Time Series Analysis Baseline
The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2022)
MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing
open-source feature selection repository in python
list of open wind turbine data sets
Scalable and user friendly neural 🧠 forecasting algorithms.
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
RevIN: Reversible Instance Normalization For Accurate Time-series Forecasting Against Distribution Shift
[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"
A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)
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
Time series forecasting with PyTorch