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    • nino

      Public
      Code for "Accelerating Training with Neuron Interaction and Nowcasting Networks"
      Python
      MIT License
      41700Updated Dec 11, 2024Dec 11, 2024
    • Python
      MIT License
      12000Updated Sep 23, 2024Sep 23, 2024
    • ghn3

      Public
      Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" [ICML 2023]
      Shell
      MIT License
      23000Updated Aug 27, 2024Aug 27, 2024
    • Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models
      Python
      1314421Updated Aug 6, 2024Aug 6, 2024
    • LoGAH

      Public
      LoGAH: Predicting 774-Million-Parameter Transformers using Graph HyperNetworks with 1/100 Parameters.
      0000Updated May 29, 2024May 29, 2024
    • Code for "LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging" [ICML 2024]
      0000Updated May 28, 2024May 28, 2024
    • PAPA

      Public
      Repository for the PopulAtion Parameter Averaging (PAPA) paper
      Python
      MIT License
      32600Updated Apr 11, 2024Apr 11, 2024
    • Simple Learning to Optimize in PyTorch
      Python
      MIT License
      0200Updated Nov 21, 2023Nov 21, 2023
    • Code for "Difference of Submodular Minimization via DC Programming" [ICML 2023]
      MATLAB
      MIT License
      0400Updated May 19, 2023May 19, 2023
    • Code for "Fairness in Streaming Submodular Maximization over a Matroid Constraint" [ICML 2023]
      0000Updated May 5, 2023May 5, 2023
    • Code for "Data-Efficient Structured Pruning via Submodular Optimization" [NeurIPS 2022]
      Jupyter Notebook
      MIT License
      2800Updated May 5, 2023May 5, 2023
    • On Evaluation Metrics for Graph Generative Models [ICLR 2022]
      0100Updated Mar 22, 2023Mar 22, 2023
    • Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights [NeurIPS 2022]
      0200Updated Mar 22, 2023Mar 22, 2023
    • multiset-equivariance

      Public archive
      Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation [ICLR 2022]
      0100Updated Mar 13, 2023Mar 13, 2023