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    23 repositories

    • ream

      Public
      REAM: Merging Improves Pruning of Experts in LLMs
      compressionmoeglm
      compressionmoeglmmixture-of-expertsllmsmodel-mergingqwen3
      Python
      •
      MIT License
      •2•13•0•0•Updated Apr 16, 2026Apr 16, 2026

    • TinyRecursiveModels

      Public archive
      Python
      •
      MIT License
      •1k•6.5k•36•4•Updated Apr 1, 2026Apr 1, 2026

    • molecular-orbitals

      Public
      0•0•0•0•Updated Mar 6, 2026Mar 6, 2026

    • nino

      Public
      Code for "Accelerating Training with Neuron Interaction and Nowcasting Networks" [ICLR 2025]
      transformersoptimization-algorithmsgraph-neural-networks
      transformersoptimization-algorithmsgraph-neural-networksoptimizersneural-graphs
      Python
      •
      MIT License
      •9•28•0•0•Updated Feb 20, 2026Feb 20, 2026

    • mulo

      Public archive
      μLO: Compute-Efficient Meta-Generalization of Learned Optimizers [to appear at ICLR 2026]
      transformersoptimization-algorithmsmeta-learning
      transformersoptimization-algorithmsmeta-learningoptimizerslearning-to-optimize
      0•0•0•0•Updated Feb 12, 2026Feb 12, 2026

    • AVR-Eval-Agent

      Public archive
      Python
      •
      MIT License
      •2•13•0•0•Updated Aug 18, 2025Aug 18, 2025

    • cont-diffsubmin

      Public archive
      Code for "Discrete and Continuous Difference of Submodular Minimization" [ICML 2025]
      MATLAB
      •
      MIT License
      •1•0•0•0•Updated Aug 11, 2025Aug 11, 2025

    • GuidedQuant

      Public archive
      Code for "GuidedQuant: Large Language Model Quantization via Exploiting End Loss Guidance" [ICML 2025]
      0•0•0•0•Updated May 20, 2025May 20, 2025

    • ByteCraft

      Public archive
      Python
      •
      MIT License
      •6•40•0•0•Updated Apr 9, 2025Apr 9, 2025

    • AnyMolGenCritic

      Public archive
      Python
      •
      MIT License
      •6•21•0•0•Updated Apr 3, 2025Apr 3, 2025

    • STGG-AL

      Public archive
      Python
      •
      MIT License
      •4•13•0•0•Updated Feb 25, 2025Feb 25, 2025

    • ghn3

      Public archive
      Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" [ICML 2023]
      deep-learninggraphstransformers
      deep-learninggraphstransformerspytorchimagenetcomputational-graphslarge-scalehypernetworks
      Shell
      •
      MIT License
      •8•38•0•0•Updated Aug 27, 2024Aug 27, 2024

    • ForestDiffusion

      Public archive
      Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models
      Python
      •18•181•2•1•Updated Aug 6, 2024Aug 6, 2024

    • LoGAH

      Public archive
      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 archive
      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 archive
      Repository for the PopulAtion Parameter Averaging (PAPA) paper
      Python
      •
      MIT License
      •5•30•0•0•Updated Apr 11, 2024Apr 11, 2024

    • l2o_pytorch

      Public archive
      Simple Learning to Optimize in PyTorch
      optimization-algorithmsmeta-learninglearning-to-optimize
      optimization-algorithmsmeta-learninglearning-to-optimize
      Python
      •
      MIT License
      •1•2•0•0•Updated Nov 21, 2023Nov 21, 2023

    • difference-submodular-min

      Public archive
      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 archive
      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 archive
      Code for "Data-Efficient Structured Pruning via Submodular Optimization" [NeurIPS 2022]
      Jupyter Notebook
      •
      MIT License
      •2•9•0•0•Updated May 5, 2023May 5, 2023

    • GGM-metrics

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

    • hyper-representation

      Public archive
      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
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