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inthuml (press backspace or delete to remove)Deep learning
Deep Learning is an artificial neural network composed of many layers.
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
- Python
- 3.6k
- Updated on May 10, 2024
About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://o…
- Python
- 833
- Updated on Dec 29, 2023
2024 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.
- 733
- Updated on Dec 20, 2024
depyf is a tool to help you understand and adapt to PyTorch compiler torch.compile.
- Python
- 614
- Updated on Dec 7, 2024
Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/a…
- Python
- 512
- Updated on Aug 19, 2024
About Code release for "Flowformer: Linearizing Transformers with Conservation Flows" (ICML 2022), https://arxiv.org/pdf/2202.06258.pdf
- Python
- 315
- Updated on Jul 18, 2024
Code release for "HashNet: Deep Learning to Hash by Continuation" (ICCV 2017)
- Jupyter Notebook
- 240
- Updated on Aug 2, 2019
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Deep Learning is an artificial neural network composed of many layers.
Sponsor open source projects you depend on
Contributors are working behind the scenes to make open source better for everyone—give them the help and recognition they deserve.Explore sponsorable projectsProTip!
Press the /
key to activate the search input again and adjust your query.