Alternatives and similar repositories for neural-rewriter

Users that are interested in neural-rewriter are comparing it to the libraries listed below

• qiang-ma / graph-pointer-network
  ☆163Updated 5 years ago
• xijunlee / Learning-to-Optimize-Arxiv
  The repository archives papers regarding the combination of combinatorial optimization and machine learning and corresponding reading not…
  ☆165Updated 5 years ago
• tomdbar / eco-dqn
  Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".
  ☆81Updated 5 years ago
• ds4dm / learn2branch
  Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)
  ☆396Updated 3 years ago
• Spider-scnu / TSP
  ☆134Updated 3 years ago
• louisv123 / COLGE
  ☆38Updated 6 years ago
• rlopt / l2i
  ☆109Updated 5 years ago
• qcappart / hybrid-cp-rl-solver
  Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization
  ☆201Updated 5 years ago
• chaitjo / learning-tsp
  Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)
  ☆239Updated 4 years ago
• hanxiongwei / L2O-Solver-Papers
  ☆11Updated 5 years ago
• chaitjo / graph-convnet-tsp
  Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Sessi…
  ☆329Updated 3 years ago
• isl-org / NPHard
  Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search
  ☆155Updated last year
• pg2455 / Hybrid-learn2branch
  Hybrid Models for Learning to Branch (NeurIPS 2020)
  ☆51Updated 4 years ago
• Hanjun-Dai / graph_comb_opt
  Implementation of "Learning Combinatorial Optimization Algorithms over Graphs"
  ☆513Updated 6 years ago
• machine-reasoning-ufrgs / TSP-GNN
  Graph Neural Network architecture to solve the decision variant of the Traveling Salesperson Problem (is there a Hamiltonian tour in G wi…
  ☆119Updated 5 years ago
• chaitjo / learning-paradigms-for-tsp
  Code for the paper 'On Learning Paradigms for the Travelling Salesman Problem' (NeurIPS 2019 Graph Representation Learning Workshop)
  ☆33Updated 4 years ago
• pemami4911 / neural-combinatorial-rl-pytorch
  PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940
  ☆596Updated 7 years ago
• Rintarooo / TSP_DRL_PtrNet
  "Neural Combinatorial Optimization with Reinforcement Learning"[Bello+, 2016], Traveling Salesman Problem solver
  ☆188Updated 4 years ago
• ds4dm / ml4co-competition
  Machine Learning for Combinatorial Optimization - NeurIPS'21 competition
  ☆139Updated 3 years ago
• xbresson / TSP_Transformer
  Code for TSP Transformer
  ☆193Updated 4 years ago
• aurelienbibaut / DQN_MVC
  Implementation of Learning Combinatorial Optimization Algorithms over Graphs, by Hanjun Dai et al. (2017)
  ☆34Updated 7 years ago
• ahottung / CVAE-Opt
  Learning a Latent Search Space for Routing Problems using Variational Autoencoders
  ☆28Updated 4 years ago
• Thinklab-SJTU / PPO-BiHyb
  Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".
  ☆103Updated 2 years ago
• Stalence / erdos_neu
  Official Repo for the NeurIPS2020 paper "Erdos Goes Neural: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs"
  ☆50Updated 3 years ago
• qiang-ma / HRL-for-combinatorial-optimization
  Hierarchical deep reinforcement learning for combinatorial optimization problem
  ☆35Updated 6 years ago
• WXY1427 / Learn-LNS-policy
  ☆34Updated 3 years ago
• JHL-HUST / VSR-LKH
  Combining Reinforcement Learning with Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman Problem
  ☆48Updated last year
• mit-wu-lab / learning-to-delegate
  [NeurIPS 2021 Spotlight] Learning to Delegate for Large-scale Vehicle Routing
  ☆85Updated 3 years ago
• ds4dm / branch-search-trees
  Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)
  ☆68Updated 4 years ago
• RomeoV / ml4co-competition
  Winner of NeurIPS 2021 student leaderboard. Self-bootstrapping bayesian optimization for SCIP configuration using GNNs.
  ☆13Updated 3 years ago