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    14 repositories

    • nino

      Public
      Code for "Accelerating Training with Neuron Interaction and Nowcasting Networks" [to appear at ICLR 2025]
      transformersoptimization-algorithmsgraph-neural-networksoptimizersneural-graphs
      Python
      •
      MIT License
      •4•18•0•0•Updated Jan 9, 2025Jan 9, 2025

    • AnyMolGenCritic

      Public
      Python
      •
      MIT License
      •1•20•0•0•Updated Sep 23, 2024Sep 23, 2024

    • ghn3

      Public
      Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" [ICML 2023]
      graphstransformersimagenetcomputational-graphslarge-scalehypernetworksdeep-learningpytorch
      Shell
      •
      MIT License
      •2•31•0•0•Updated Aug 27, 2024Aug 27, 2024

    • ForestDiffusion

      Public
      Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models
      Python
      •13•147•3•1•Updated Aug 6, 2024Aug 6, 2024

    • LoGAH

      Public
      LoGAH: Predicting 774-Million-Parameter Transformers using Graph HyperNetworks with 1/100 Parameters.
      0•0•0•0•Updated May 29, 2024May 29, 2024

    • layer-merge

      Public
      Code for "LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging" [ICML 2024]
      0•0•0•0•Updated May 28, 2024May 28, 2024

    • PAPA

      Public
      Repository for the PopulAtion Parameter Averaging (PAPA) paper
      Python
      •
      MIT License
      •3•26•0•0•Updated Apr 11, 2024Apr 11, 2024

    • l2o_pytorch

      Public
      Simple Learning to Optimize in PyTorch
      Python
      •
      MIT License
      •0•2•0•0•Updated Nov 21, 2023Nov 21, 2023

    • difference-submodular-min

      Public
      Code for "Difference of Submodular Minimization via DC Programming" [ICML 2023]
      MATLAB
      •
      MIT License
      •0•4•0•0•Updated May 19, 2023May 19, 2023

    • fair-matroid-submodular-max

      Public
      Code for "Fairness in Streaming Submodular Maximization over a Matroid Constraint" [ICML 2023]
      0•0•0•0•Updated May 5, 2023May 5, 2023

    • subpruning

      Public
      Code for "Data-Efficient Structured Pruning via Submodular Optimization" [NeurIPS 2022]
      Jupyter Notebook
      •
      MIT License
      •2•8•0•0•Updated May 5, 2023May 5, 2023

    • GGM-metrics

      Public
      On Evaluation Metrics for Graph Generative Models [ICLR 2022]
      0•1•0•0•Updated Mar 22, 2023Mar 22, 2023

    • hyper-representation

      Public
      Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights [NeurIPS 2022]
      0•2•0•0•Updated Mar 22, 2023Mar 22, 2023

    • multiset-equivariance

      Public archive
      Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation [ICLR 2022]
      0•1•0•0•Updated Mar 13, 2023Mar 13, 2023