Alternatives and similar repositories for learning_what_to_defer

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

• gnobitab / MultiObjectiveSampling
  ☆18Updated 4 years ago
• juho-lee / bnp
  Pytorch implementation of neural processes and variants
  ☆29Updated last year
• GFNOrg / EB_GFN
  Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"
  ☆87Updated 2 years ago
• brandontrabucco / design-baselines
  Baselines for Model-Based Optimization
  ☆55Updated 3 years ago
• jparkerholder / PB2
  Code for the Population-Based Bandits Algorithm, presented at NeurIPS 2020.
  ☆20Updated 4 years ago
• tung-nd / TNP-pytorch
  Official implementation of Transformer Neural Processes
  ☆78Updated 3 years ago
• dbsxodud-11 / ls_gfn
  Official Code for Local Search GFlowNets (ICLR 2024 Spotlight)
  ☆24Updated 10 months ago
• zdhNarsil / GFlowNet-CombOpt
  PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…
  ☆67Updated 2 years ago
• maxwshen / gflownet
  ☆19Updated 2 years ago
• JunjieYang97 / stocBiO
  Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"
  ☆50Updated 4 years ago
• siddarthk97 / bonet
  ☆14Updated 3 years ago
• Stalence / erdos_neu
  Official Repo for the NeurIPS2020 paper "Erdos Goes Neural: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs"
  ☆51Updated 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
• aravindr93 / imaml_dev
  Repo to accompany paper on Meta Learning with Implicit Gradients (NeurIPS 2019)
  ☆59Updated 5 years ago
• NNReasoning / What-Can-Neural-Networks-Reason-About
  ☆44Updated 5 years ago
• brandontrabucco / design-bench
  Benchmarks for Model-Based Optimization
  ☆96Updated last year
• huaxiuyao / HSML_Dynamic
  HSML Dynamic version for ICML 2019
  ☆12Updated 6 years ago
• ZhimingZhou / AdaShift-LGANs-MaxGP-refactored
  This is a joint implementation of AdaShift optimizer, LGANs, and MaxGP.
  ☆14Updated 5 years ago
• idea-iitd / GCOMB
  ☆36Updated 2 years ago
• DIMESTeam / DIMES
  ☆45Updated 8 months ago
• hsjang0 / LED-GFN
  Learning energy decompositions for partial inference in GFlowNets
  ☆16Updated last year
• IBM / OoD
  Repository for theory and methods for Out-of-Distribution (OoD) generalization
  ☆63Updated 3 years ago
• mila-iqia / Awesome-Offline-Model-Based-Optimization
  📰 Must-Read Papers on Offline Model-Based Optimization 🔥
  ☆29Updated 6 months ago
• tristandeleu / jax-dag-gflownet
  Code for "Bayesian Structure Learning with Generative Flow Networks"
  ☆94Updated 3 years ago
• rail-berkeley / design-bench
  ☆53Updated 3 years ago
• prolearner / hypertorch
  ☆126Updated last year
• ondrejbohdal / evograd
  Official PyTorch implementation of "EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization"
  ☆22Updated 4 years ago
• eric-mitchell / macaw
  Code for "Offline Meta-Reinforcement Learning with Advantage Weighting" [ICML 2021]
  ☆46Updated 3 years ago
• kaist-silab / meta-sage
  [ICML 2023] Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optim…
  ☆10Updated 2 years ago
• ermongroup / GraphScoreMatching
  Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling
  ☆115Updated 2 years ago