This is an official implementation of "ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis" (ICLR 2024 Spotlight), https://openreview.net/forum?id=vpJMJerXHU

Simple, minimal implementation of the Mamba SSM in one file of PyTorch.

The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2022)

[IoT 2024] The official implementation of "Cocv: A compression algorithm for time-series data with continuous constant values in IoT-based monitoring systems". This work is developed by the Lab of …

[ICML 2024 Oral] Official repository of the SparseTSF paper: "SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters". This work is developed by the Lab of Professor Weiwei Lin (l…

Official implementation of SAMformer, a transformer leveraging Sharpness-Aware Minimization and Channel-Wise Attention for Time Series Forecasting.

[ICML 2024] A novel, efficient approach combining convolutional operations with adaptive spectral analysis as a foundation model for different time series tasks

This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).

Probabilistic time series modeling in Python

Unofficial implementation of iTransformer - SOTA Time Series Forecasting using Attention networks, out of Tsinghua / Ant group

电子科技大学本科课程代码。

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 …

Generalized Uncertainty-Based Evidential Fusion with Hybrid Multi-Head Attention for Weak-Supervised Temporal Action Localization

Official implementation of "Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting"

😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

An awesome paper list of Semi-Supervised Learning under realistic settings.

OpenSees Source Code Repository

a fork

a fork

a fork

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

a exercise from patrickloeber in youtube

Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)

This is a Python package for AspenPlus manipulating.

based on the version of "https://github.com/dreamoffeature/mopso", which has too many mistakes, I rewrite the MOPSO algorithm

DIST Dataset: A detailed month-long data collection from a methanol distillation process

the code of paper STC-SDE: Trustworthy Multivariate Time Series Prediction for Industrial Process Control

Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts

A Library for Advanced Deep Time Series Models.