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  1. adaptive-inertia-adai Public

    [ICML 2022, Oral] The PyTorch Implementation of Adaptive Inertia Methods. The algorithms are based on our paper: "Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum".

    Python 149 11

  2. artificial-neural-variability-for-deep-learning Public

    [Neural Computation, MIT Press] The PyTorch Implementation of Variable Optimizers/ Neural Variable Risk Minimization proposed in our Neural Computation paper: Artificial Neural Variability for Deep…

    Python 33 4

  3. stable-weight-decay-regularization Public

    [NeurIPS 2023] The PyTorch Implementation of Scheduled (Stable) Weight Decay.

    Python 59 6

  4. Positive-Negative-Momentum Public

    [ICML 2021] The official PyTorch Implementations of Positive-Negative Momentum Optimizers.

    Python 28 6

  5. xie-lab-ml/deep-learning-dynamics-paper-list Public

    This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success of deep learning attributes to both network architecture and …

    272 25

  6. Madaoer/S3IM-Neural-Fields Public

    [ICCV 2023] Pytorch implementation of "S3IM: Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Fields".

    Python 237 9

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April 2025

Created 1 commit in 1 repository
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