Alternatives and similar repositories for MOML:

Users that are interested in MOML are comparing it to the libraries listed below

• dbmptr / EPOSearch
  Exact Pareto Optimal solutions for preference based Multi-Objective Optimization
  ☆59Updated 2 years ago
• sanketkshah / LODLs
  Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"
  ☆25Updated 9 months ago
• VITA-Group / L2O-Training-Techniques
  [NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu …
  ☆26Updated 3 years ago
• ruchtem / cosmos
  This is the official implementation for COSMOS: a method to learn Pareto fronts that scales to large datasets and deep models.
  ☆37Updated 3 years ago
• gnobitab / MultiObjectiveSampling
  ☆15Updated 3 years ago
• vis-opt-group / BLO
  Bi-level Optimization for Advanced Deep Learning
  ☆41Updated 3 years ago
• VITA-Group / L2O-Minimax
  [ICLR 2021] "Learning a Minimax Optimizer: A Pilot Study" by Jiayi Shen*, Xiaohan Chen*, Howard Heaton*, Tianlong Chen, Jialin Liu, Wotao…
  ☆15Updated 3 years ago
• Xi-L / PSL-MOBO
  ☆31Updated last year
• softsys4ai / FlexiBO
  FlexiBO: Cost-Aware Multi-Objective Optimization of Deep Neural Networks
  ☆14Updated last year
• JunjieYang97 / stocBiO
  Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"
  ☆46Updated 3 years ago
• lamda-bbo / MCTS-VS
  Official implementation of NeurIPS'22 paper "Monte Carlo Tree Search based Variable Selection for High-Dimensional Bayesian Optimization"
  ☆34Updated last year
• jparkerholder / PB2
  Code for the Population-Based Bandits Algorithm, presented at NeurIPS 2020.
  ☆20Updated 3 years ago
• longhp1618 / MultiSample-Hypernetworks
  [AAAI-23] Improving Pareto Front Learning via Multi-Sample Hypernetworks
  ☆9Updated 4 months ago
• AvivNavon / pareto-hypernetworks
  Official implementation of Learning The Pareto Front With HyperNetworks [ICLR 2021]
  ☆100Updated 2 years ago
• GFNOrg / multi-objective-gfn
  Code for "Multi-Objective GFlowNets"
  ☆12Updated last year
• ondrejbohdal / evograd
  Official PyTorch implementation of "EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization"
  ☆21Updated 3 years ago
• LJSthu / Kernelized-HRM
  The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".
  ☆12Updated 3 years ago
• callous-youth / IAPTT-GM
  Code Repository for NeurIPS 2021 accepted paper, named "Torwards Gradient-based Bilevel Optimization with non-convex Followers and Beyond…
  ☆10Updated 2 years ago
• pmichel31415 / P-DRO
  Code for the papers "Modeling the Second Player in Distributionally Robust Optimization" and "Distributionally Robust Models with Paramet…
  ☆27Updated 2 years ago
• xiaofangxd / Multi-objective-optimization-and-Multi-task-Learning
  ☆65Updated 4 months ago
• Lingkai-Kong / so-ebm
  Code for paper: End-to-end Stochastic Optimization with Energy-based Model
  ☆16Updated last year
• wadx2019 / Neural-Bandit
  A collection of the pytorch implementation of neural bandit algorithm includes neuralUCB(Neural Contextual Bandits with UCB-based Explora…
  ☆11Updated 2 years ago
• automl / hierarchical_nas_construction
  Official repository for "Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars" (NeurIPS 2023)
  ☆16Updated last year
• siddarthk97 / bonet
  ☆11Updated 2 years ago
• dualslash / reptile-torch
  PyTorch Implementation of Reptile
  ☆19Updated 4 years ago
• thanhnguyentang / offline_neural_bandits
  An official JAX-based code for our NeuraLCB paper, "Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization", ICLR…
  ☆13Updated 2 years ago
• YujiaBao / tofu
  "Learning Stable Classifiers by Transferring Unstable Features" ICML 2022
  ☆14Updated 2 years ago
• duanzhiihao / PyTorch_OLoptim
  A PyTorch implementation of various Online & Stochastic optimization algorithms for deep learning
  ☆27Updated 2 years ago
• StevenYuan666 / Awesome-Offline-Model-based-Optimization
  📰 Must-read papers on Offline Model-based Optimization 🔥
  ☆12Updated 6 months ago
• StanfordASL / moca
  ☆31Updated 2 years ago