Official implementation for "TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables" (NeurIPS 2024)

A pytorch implementation of Fourier Analysis Networks (FAN)

A lightweight framework for building LLM-based agents

Clash，Clash教程，Clash配置，Clash使用教程，Clash安卓版本

The official implementation of the ICLR 24 submission entitled "Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation".

Smart meter load disaggregation with Hidden Markov Models

A python library for user-friendly forecasting and anomaly detection on time series.

Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"

A pip-installable PyTorch implementation of TSMixer, providing an easy-to-use and efficient solution for time-series forecasting.

Unofficial Implementation of Long-term Forecasting with TiDE: Time-series Dense Encoder

Resources about time series forecasting and deep learning.

[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"

Hybrid ML + physics model of the Earth's atmosphere

The official code 👩‍💻 for - TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis

graph wavenet

Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting…

Official code, datasets and checkpoints for "Timer: Generative Pre-trained Transformers Are Large Time Series Models" (ICML 2024)

Official implementation for "UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction" (KDD 2024)

Chronos: Pretrained Models for Probabilistic Time Series Forecasting

Google timesfm 实战部署/本地部署详细记录

This repository contains code for the paper "Improving day-ahead Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal Context"

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

Code for IoTJ 2024 paper "SageFormer: Series-Aware Framework for Long-Term Multivariate Time-Series Forecasting".

🚗 Implementation of spatio-temporal graph convolutional network with PyTorch

The PyTorch implementation of STGCN.

Unified Training of Universal Time Series Forecasting Transformers

The official Meta Llama 3 GitHub site

[KDD'2024] "UrbanGPT: Spatio-Temporal Large Language Models"