Alternatives and similar repositories for Path-Auxiliary-Sampler

Users that are interested in Path-Auxiliary-Sampler are comparing it to the libraries listed below

• thjashin / rodeo
  Gradient Estimation with Discrete Stein Operators (NeurIPS 2022)
  ☆17Updated 2 years ago
• GFNOrg / EB_GFN
  Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"
  ☆87Updated 2 years ago
• sanketkshah / LODLs
  Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"
  ☆32Updated last year
• zdhNarsil / GFlowNet-CombOpt
  PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…
  ☆66Updated 2 years ago
• Shen-Lab / Bayesian-L2O
  [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…
  ☆14Updated 3 years ago
• devzhk / LMCTS
  ☆12Updated 3 years ago
• rail-berkeley / design-bench
  ☆53Updated 3 years ago
• Graph-COM / CO_ProxyDesign
  The repository for 'Unsupervised Learning for Combinatorial Optimization with Principled Proxy Design'
  ☆16Updated 3 years ago
• maxwshen / gflownet
  ☆19Updated 2 years ago
• dbsxodud-11 / ls_gfn
  Official Code for Local Search GFlowNets (ICLR 2024 Spotlight)
  ☆23Updated 11 months ago
• brandontrabucco / design-baselines
  Baselines for Model-Based Optimization
  ☆55Updated 4 years ago
• boschresearch / MetaBO
  Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization
  ☆42Updated 5 years ago
• zdhNarsil / Distributional-GFlowNets
  Code for our TMLR paper "Distributional GFlowNets with Quantile Flows".
  ☆13Updated last year
• ml-jku / DIffUCO
  ☆66Updated 4 months ago
• NNReasoning / What-Can-Neural-Networks-Reason-About
  ☆44Updated 5 years ago
• LaurenceA / bayesfunc
  ☆15Updated 3 years ago
• google-research / discs
  DISCS: The code base for the Benchmark for Discrete Sampling
  ☆63Updated last year
• sungsoo-ahn / learning_what_to_defer
  ☆24Updated 5 years ago
• PurdueMINDS / size-invariant-GNNs
  Size-Invariant Graph Representations for Graph Classification Extrapolations (ICML 2021 Long Talk)
  ☆23Updated 3 years ago
• yudasong / briee
  Representation Learning in RL
  ☆13Updated 3 years ago
• pmichel31415 / P-DRO
  Code for the papers "Modeling the Second Player in Distributionally Robust Optimization" and "Distributionally Robust Models with Paramet…
  ☆29Updated 3 years ago
• tristandeleu / jax-dag-gflownet
  Code for "Bayesian Structure Learning with Generative Flow Networks"
  ☆95Updated 3 years ago
• RomeoV / ml4co-competition
  Winner of NeurIPS 2021 student leaderboard. Self-bootstrapping bayesian optimization for SCIP configuration using GNNs.
  ☆13Updated 3 years ago
• ml-jku / align-rudder
  Code to reproduce results on toy tasks and companion blog for the paper.
  ☆22Updated 3 years ago
• allenbai01 / transformers-as-statisticians
  ☆34Updated 2 years ago
• DanieleGammelli / graph-rl-for-network-optimization
  ☆16Updated 3 years ago
• qsh-zh / pis
  [ICLR 2022] Path integral sampler
  ☆52Updated 2 years ago
• ling-pan / GAFN
  ☆25Updated last year
• lpapenme / BAxUS
  This is the code for our paper: Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces (Leonard Papenmeier…
  ☆21Updated 2 years ago
• siddarthk97 / bonet
  ☆14Updated 3 years ago