THUML @ Tsinghua University

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

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Code release for "HashNet: Deep Learning to Hash by Continuation" (ICCV 2017)

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Official implementation for NIPS'17 paper: PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs.

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About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_

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

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Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)

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About Code release for "Flowformer: Linearizing Transformers with Conservation Flows" (ICML 2022), https://arxiv.org/pdf/2202.06258.pdf

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Code release for "LogME: Practical Assessment of Pre-trained Models for Transfer Learning" (ICML 2021) and Ranking and Tuning Pre-trained Models: A New Paradigm for Exploiting Model Hubs (JMLR 2022)

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Code released for ICML 2019 paper "Bridging Theory and Algorithm for Domain Adaptation".

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Transfer Learning Library

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