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  • Hangzhou, China
  • 13:25 (UTC +08:00)

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@LAMDA-NJU @TorchEnsemble-Community

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  1. TorchEnsemble-Community/Ensemble-Pytorch TorchEnsemble-Community/Ensemble-Pytorch Public

    A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.

    Python 1.1k 96

  2. LAMDA-NJU/Deep-Forest LAMDA-NJU/Deep-Forest Public

    An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)

    Python 931 162

  3. Deep-Clustering-Network Deep-Clustering-Network Public

    PyTorch Implementation of "Towards K-Means-Friendly Spaces: Simultaneous Deep Learning and Clustering," Bo Yang et al., ICML'2017.

    Python 122 29

  4. Soft-Decision-Tree Soft-Decision-Tree Public

    PyTorch Implementation of "Distilling a Neural Network Into a Soft Decision Tree." Nicholas Frosst, Geoffrey Hinton., 2017.

    Python 96 19

  5. sktime/sktime sktime/sktime Public

    A unified framework for machine learning with time series

    Python 8k 1.4k

  6. sebp/scikit-survival sebp/scikit-survival Public

    Survival analysis built on top of scikit-learn

    Python 1.1k 216