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Tsinghua University
- Beijing, China
- https://wenweithu.github.io/
Highlights
- Pro
Pinned Loading
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thuml/iTransformer
thuml/iTransformer PublicOfficial implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah
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thuml/Large-Time-Series-Model
thuml/Large-Time-Series-Model PublicOfficial code, datasets and checkpoints for "Timer: Generative Pre-trained Transformers Are Large Time Series Models" (ICML 2024)
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thuml/OpenLTM
thuml/OpenLTM PublicOpen-Source Implementations of Large Time-Series Models
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thuml/Nonstationary_Transformers
thuml/Nonstationary_Transformers PublicCode release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/abs/2205.14415
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thuml/AutoTimes
thuml/AutoTimes PublicOfficial implementation for "AutoTimes: Autoregressive Time Series Forecasters via Large Language Models"
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thuml/Koopa
thuml/Koopa PublicCode release for "Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors" (NeurIPS 2023), https://arxiv.org/abs/2305.18803
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