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University of Illinois at Urbana-Champaign
Stars
Code for "Is Mamba Effective for Time Series Forecasting?"
Simple reference implementation of GraphSAGE.
A comprehensive survey on the time series domains
tracking papers, datasets, and models of "large language model (LLM) for time series"
Official Implementation of EAGLE-1 (ICML'24) and EAGLE-2 (EMNLP'24)
The official code for "TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting (ICLR 2024)". TEMPO is one of the very first open source Time Series Foundation Models for …
Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"
A Library for Advanced Deep Time Series Models.
The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"
Chronos: Pretrained Models for Probabilistic Time Series Forecasting
[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"
Resources about time series forecasting and deep learning.
PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
A Node.js wrapper for Spotify's Web API.