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ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification
⚡ A python fast implementation of the famous SVD algorithm popularized by Simon Funk during Netflix Prize
解决Cursor在免费订阅期间出现以下提示的问题: You've reached your trial request limit. / Too many free trial accounts used on this machine. Please upgrade to pro. We have this limit in place to prevent abuse. Please l…
passive(ly maintained) seismology toolbox for Matlab & GNU Octave
A Python package for Horizontal-to-Vertical (H/V, HVSR) Spectral Ratio Processing.
Matplotlib styles for scientific plotting
Intelligent Resource Requirement Estimation and Scheduling for Deep Learning Jobs on Distributed GPU Clusters
简单的实现推荐系统的召回模型和排序模型，其中召回模型使用协同过滤算法，排序模型使用gbdt+lr算法
[NeurIPS 2024 Spotlight] Official repository of the CycleNet paper: "CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns". This work is developed by the Lab of Professor …
Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/abs/2205.14415
Awesome Easy-to-Use Deep Time Series Modeling based on PaddlePaddle, including comprehensive functionality modules like TSDataset, Analysis, Transform, Models, AutoTS, and Ensemble, etc., supportin…
[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
Material you widgets for your windows desktop, adaptable with wallpaper colors with both light & dark modes
Official implementation for "TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables" (NeurIPS 2024)
In this project, we will compare two algorithms for stock prediction. First, we will utilize the Long Short Term Memory(LSTM) network to do the Stock Market Prediction. LSTM is a powerful method th…
Traffic Flow Prediction with Neural Networks(SAEs、LSTM、GRU).
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
A unified framework for machine learning with time series
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
Unsupervised time series anomaly detection library
List of tools & datasets for anomaly detection on time-series data.
Open source applications of the Mahali project (http://mahali.mit.edu)
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities