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autoformer

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

autotimes

Official implementation for "AutoTimes: Autoregressive Time Series Forecasters via Large Language Models"

cost

gill

🐟 Code and models for the NeurIPS 2023 paper "Generating Images with Multimodal Language Models".

google-research

Google Research

itransformer

Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah

koopa

Code release for "Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors" (NeurIPS 2023), https://arxiv.org/abs/2305.18803

modaverse

[CVPR2024] ModaVerse: Efficiently Transforming Modalities with LLMs

next-gpt

Code and models for NExT-GPT: Any-to-Any Multimodal Large Language Model

patchtst

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-library

A Library for Advanced Deep Time Series Models.

timemixer

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

ts2vec

A universal time series representation learning framework