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@Optimization-AI Optimization for Machine Learning and AI

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    18 repositories

    • DRPO

      Public
      Efficient Reasoning via Decoupled Reward Policy Optimization
      Python
      •
      MIT License
      •0•8•0•0•Updated Dec 2, 2025Dec 2, 2025

    • DisCO

      Public
      Discriminative Constrained Optimization for Reinforcing Large Reasoning Models
      Python
      •
      MIT License
      •2•49•1•0•Updated Nov 6, 2025Nov 6, 2025

    • LibAUC

      Public
      LibAUC: A Deep Learning Library for X-Risk Optimization
      machine-learningdeep-learningoptimizationpytorchndcgranking-algorithmself-supervised-learningauprcauroccontrastive-learning
      Python
      •
      MIT License
      •41•311•0•0•Updated Sep 28, 2025Sep 28, 2025

    • verl

      Public
      verl: Volcano Engine Reinforcement Learning for LLMs
      Python
      •
      Apache License 2.0
      •3k•0•0•0•Updated Sep 16, 2025Sep 16, 2025

    • DRRho-CLIP

      Public
      Model steering for CLIP training
      Python
      •
      MIT License
      •1•3•0•0•Updated Jul 15, 2025Jul 15, 2025

    • DistTempNet

      Public
      Distributed version of TempNet.
      Python
      •1•1•0•0•Updated May 24, 2025May 24, 2025

    • DFT

      Public
      Discriminative Fine-tuning of LLMs without reward models and human preference data
      Python
      •1•5•0•0•Updated May 18, 2025May 18, 2025

    • maxclip_comp

      Public
      Website for MaxCLIP Competition
      HTML
      •0•0•0•0•Updated Nov 8, 2024Nov 8, 2024

    • FastCLIP

      Public
      Distributed Optimization Infra for learning CLIP models
      Python
      •
      MIT License
      •1•27•0•0•Updated Oct 3, 2024Oct 3, 2024

    • TempNet

      Public
      To Cool or not to Cool? Temperature Network Meets Large Foundation Models via DRO
      Python
      •6•0•0•0•Updated Apr 9, 2024Apr 9, 2024

    • NeurIPS2021_SOAP

      Public
      Official implementation of the paper "Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence" published on Neurips2021.
      Python
      •1•21•1•0•Updated Oct 9, 2023Oct 9, 2023

    • ICML2023_LDR

      Public
      The official implementation from 'Label Distributionally Robust Losses for Multi-class Classification: Consistency, Robustness and Adaptivity' ICML2023
      Python
      •
      Apache License 2.0
      •1•1•0•0•Updated Jun 6, 2023Jun 6, 2023

    • ICML2023_FeDXL

      Public
      Official implementation of ICML 2023 paper "FeDXL: Provable Federated Learning for Deep X-Risk Optimization".
      Python
      •0•2•0•0•Updated May 30, 2023May 30, 2023

    • ICML2023_BSVRB

      Public
      Official implementation of the paper "Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization", ICML 2023
      Python
      •1•2•0•0•Updated May 30, 2023May 30, 2023

    • NDCG-Optimization

      Public
      Official implementation of the paper "Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence" ICML2022.
      Python
      •0•2•0•0•Updated May 5, 2023May 5, 2023

    • SogCLR

      Public
      Stochastic Optimization for Global Contrastive Learning without Large Mini-batches
      self-supervised-learningconstrastive-learning
      Python
      •5•20•1•0•Updated Mar 31, 2023Mar 31, 2023

    • ICCV2021_DeepAUC

      Public
      Official implementation of the paper "Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification, ICCV2021"
      Python
      •6•25•1•0•Updated Feb 2, 2023Feb 2, 2023

    • ICML2021_FedDeepAUC_CODASCA

      Public
      Official implementation: "Federated Deep AUC Maximization for Heterogeneous Data with a Constant Communication Complexity", ICML2021.
      Python
      •1•5•0•0•Updated Sep 9, 2021Sep 9, 2021