Alternatives and similar repositories for LA-MCTS

Users that are interested in LA-MCTS are comparing it to the libraries listed below

• jbr-ai-labs / bbo-challenge-jetbrains-research
  Code for Solving Black-Box Optimization Challenge via Learning Search Space Partition for Local Bayesian Optimization.
  ☆21Updated 4 years ago
• aoiang / LaMOO
  ☆30Updated 3 years ago
• automl / LTO-CMA
  Code for the paper "Learning Step-Size Adaptation in CMA-ES"
  ☆12Updated 2 years ago
• QUVA-Lab / COMBO
  ☆50Updated last year
• lamda-bbo / MCTS-VS
  Official implementation of NeurIPS'22 paper "Monte Carlo Tree Search based Variable Selection for High-Dimensional Bayesian Optimization"
  ☆42Updated 2 years ago
• gpauloski / kfac-pytorch
  Distributed K-FAC preconditioner for PyTorch
  ☆94Updated this week
• willieneis / bayesian-algorithm-execution
  Bayesian algorithm execution (BAX)
  ☆55Updated 4 years ago
• google-research / gpax
  ☆31Updated last year
• facebookresearch / bo_pr
  Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization
  ☆76Updated 3 years ago
• facebookresearch / alebo
  Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization
  ☆42Updated 4 years ago
• Decadz / Evolved-Model-Agnostic-Loss
  [TPAMI 2023] Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning. Paper Link: https://arxiv.org/abs/2209.08907
  ☆15Updated last year
• facebookresearch / morbo
  Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces
  ☆68Updated 3 years ago
• hjmshi / noise-tolerant-bfgs
  ☆19Updated 5 years ago
• xingchenwan / nasbowl
  [ICLR '21] Interpretable Neural Architecture Search using Bayesian Optimisation with Weisfiler-Lehman Kernel (NAS-BOWL)
  ☆23Updated 4 years ago
• lfbo-ml / lfbo
  Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022
  ☆46Updated 3 years ago
• yandex-research / moshpit-sgd
  "Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices", official implementation
  ☆30Updated 11 months ago
• danieljtait / jax_xla_adventures
  Dive into Jax, Flax, XLA and C++
  ☆32Updated 5 years ago
• RUNCSP / RUN-CSP
  ☆10Updated 2 years ago
• rubinxin / CoCaBO_code
  Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)
  ☆52Updated 6 years ago
• miskcoo / kscore
  Nonparametric Score Estimators, ICML 2020
  ☆36Updated 4 years ago
• yiminzme / awesome-bayesian-optimization
  a curated list of bayesian optimization tutorials, papers, softwares
  ☆31Updated 4 years ago
• facebookresearch / neural-scs
  Neural Fixed-Point Acceleration for Convex Optimization
  ☆29Updated 3 years ago
• AlexanderMath / fasth
  Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.
  ☆77Updated last year
• facebookresearch / LANCER
  Repo for the paper "Landscape Surrogate Learning Decision Losses for Mathematical Optimization Under Partial Information"
  ☆38Updated 2 years ago
• f-dangel / hbp
  Hessian backpropagation (HBP): PyTorch extension of backpropagation for block-diagonal curvature matrix approximations
  ☆21Updated 2 years ago
• machinelearningnuremberg / DyHPO
  [NeurIPS 2022] Supervising the Multi-Fidelity Race of Hyperparameter Configurations
  ☆13Updated 2 years ago
• akshayka / hessian_trace_estimation
  Hessian trace estimation using PyTorch and Hutch++
  ☆20Updated 5 years ago
• jxbz / nero
  👑 Pytorch code for the Nero optimiser.
  ☆20Updated 3 years ago
• facebookresearch / ContextualBO
  Code associated with paper "High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization"
  ☆15Updated 5 years ago
• HazyResearch / mongoose
  A Learnable LSH Framework for Efficient NN Training
  ☆34Updated 4 years ago