Alternatives and similar repositories for MultiSample-Hypernetworks

Users that are interested in MultiSample-Hypernetworks are comparing it to the libraries listed below

• tuantran23012000 / PHN-CSF
  Code for "A Framework for Controllable Pareto Front Learning with Completed Scalarization Functions and its Applications"
  ☆16Updated 9 months ago
• dbmptr / EPOSearch
  Exact Pareto Optimal solutions for preference based Multi-Objective Optimization
  ☆65Updated 2 years ago
• ahottung / CVAE-Opt
  Learning a Latent Search Space for Routing Problems using Variational Autoencoders
  ☆26Updated 3 years ago
• AvivNavon / pareto-hypernetworks
  Official implementation of Learning The Pareto Front With HyperNetworks [ICLR 2021]
  ☆105Updated 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.
  ☆39Updated 4 years ago
• Bill-CJB / NHDE
  ☆23Updated last year
• Baijiong-Lin / MOML
  [NeurIPS 2021 | AIJ 2024] Multi-Objective Meta Learning
  ☆15Updated 10 months ago
• Xi-L / PSL-MOBO
  ☆35Updated last year
• lyeskhalil / CORL
  ☆25Updated 2 years ago
• xiaofangxd / Multi-objective-optimization-and-Multi-task-Learning
  ☆72Updated 9 months ago
• sanketkshah / LODLs
  Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"
  ☆27Updated last year
• Xi-L / PMOCO
  Code for ICLR2022 Paper: Pareto Set Learning for Neural Multi-objective Combinatorial Optimization
  ☆61Updated 3 years ago
• gnobitab / MultiObjectiveSampling
  ☆17Updated 3 years ago
• RoyalSkye / Omni-VRP
  [ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"
  ☆51Updated this week
• Fsoft-AIC / NCO-LLM
  [ICLR 2025 - Workshop AgenticAI Oral] Large Language Models powered Neural Solvers for Generalized Vehicle Routing Problems
  ☆18Updated last week
• zhangzizhen / ML-DAM
  ☆24Updated 3 years ago
• alstn12088 / Sym-NCO
  ☆27Updated last year
• idea-iitd / GCOMB
  ☆35Updated 2 years ago
• lyeskhalil / mipGNN
  ☆26Updated 4 years ago
• sungsoo-ahn / learning_what_to_defer
  ☆24Updated 4 years ago
• FeiLiu36 / MTNCO
  multi-task learning for routing problem
  ☆20Updated 7 months ago
• xzhang2523 / libmoon
  LibMOON is a standard and flexible framework to study gradient-based multiobjective optimization.
  ☆98Updated 2 months ago
• Stalence / erdos_neu
  Official Repo for the NeurIPS2020 paper "Erdos Goes Neural: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs"
  ☆49Updated 3 years ago
• Thinklab-SJTU / PPO-BiHyb
  Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".
  ☆100Updated 2 years ago
• DIMESTeam / DIMES
  ☆42Updated last month
• thanhlexyz / mfea-ii
  MFEA 2 (or MFEA-II). Multifactorial Evolutionary Optimization with Online Transfer Parameter Estimation in Python
  ☆39Updated 5 years ago
• wadx2019 / Neural-Bandit
  A collection of the pytorch implementation of neural bandit algorithm includes neuralUCB(Neural Contextual Bandits with UCB-based Explora…
  ☆17Updated 3 years ago
• lamda-bbo / madac
  Official implementation of NeurIPS22 paper “Multi-agent Dynamic Algorithm Configuration”
  ☆25Updated 2 years ago
• Baijiong-Lin / Awesome-Multi-Objective-Deep-Learning
  A comprehensive list of gradient-based multi-objective optimization algorithms in deep learning.
  ☆65Updated 3 months ago
• zdhNarsil / GFlowNet-CombOpt
  PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…
  ☆64Updated 2 years ago