Alternatives and similar repositories for Python_Benchmark_Test_Optimization_Function_Single_Objective

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

• secondmind-labs / trieste
  A Bayesian optimization toolbox built on TensorFlow
  ☆247Updated 3 weeks ago
• wangronin / Bayesian-Optimization
  Bayesian Optimization algorithms with various recent improvements
  ☆104Updated 2 years ago
• martius-lab / EQL
  Equation Learner, a neural network approach to symbolic regression
  ☆84Updated last year
• martinjankowiak / saasbo
  SAASBO: a package for high-dimensional bayesian optimization
  ☆51Updated 4 years ago
• nathanrooy / landscapes
  A dependency free library of standardized optimization test functions written in pure Python.
  ☆62Updated last month
• PredictiveIntelligenceLab / JAX-BO
  ☆30Updated 3 years ago
• AlgTUDelft / ExpensiveOptimBenchmark
  Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions
  ☆27Updated 6 months ago
• yunshengtian / DGEMO
  [NeurIPS 2020] Diversity-Guided Efficient Multi-Objective Optimization With Batch Evaluations
  ☆108Updated 2 years ago
• anyoptimization / pysamoo
  ☆48Updated 2 years ago
• uber-research / TuRBO
  ☆221Updated last year
• ppgaluzio / MOBOpt
  Multi-objective Bayesian optimization
  ☆95Updated 2 years ago
• ryojitanabe / reproblems
  A set of real-world multi-objective optimization problems
  ☆57Updated 4 years ago
• parmoo / parmoo
  Python library for parallel multiobjective simulation optimization
  ☆87Updated last week
• facebookresearch / robust_mobo
  Code for "Robust Multi-Objective Bayesian Optimization Under Input Noise"
  ☆57Updated 3 years ago
• dme65 / pySOT
  Surrogate Optimization Toolbox for Python
  ☆214Updated 4 years ago
• secondmind-labs / GPflux
  Deep GPs built on top of TensorFlow/Keras and GPflow
  ☆128Updated last year
• yucenli / bnn-bo
  Bayesian Neural Network Surrogates for Bayesian Optimization
  ☆67Updated last year
• DiffEqML / diffeqml-research
  This repository contains code released by DiffEqML Research
  ☆92Updated 3 years ago
• cog-imperial / entmoot
  Multiobjective black-box optimization using gradient-boosted trees
  ☆61Updated 11 months ago
• omron-sinicx / srsd-benchmark
  [DMLR] Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery
  ☆38Updated last year
• samuelkim314 / DeepSymRegTorch
  PyTorch implementation of the EQL network, a neural network for symbolic regression
  ☆42Updated 4 years ago
• facebookresearch / morbo
  Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces
  ☆68Updated 3 years ago
• Zymrael / PortHamiltonianNN
  Port-Hamiltonian Approach to Neural Network Training
  ☆27Updated 6 years ago
• facebookresearch / bo_pr
  Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization
  ☆76Updated 3 years ago
• luckystarufo / multiscale_HiTS
  ☆74Updated 5 years ago
• multi-objective / moocore
  Core Mathematical Functions for Multi-Objective Optimization
  ☆47Updated this week
• numericalalgorithmsgroup / pybobyqa
  Python-based Derivative-Free Optimization with Bound Constraints
  ☆91Updated last month
• j-wilson / GPflowSampling
  Code for efficiently sampling functions from GP(flow) posteriors
  ☆74Updated 5 years ago
• facebookresearch / alebo
  Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization
  ☆42Updated 4 years ago
• ltiao / bore
  Bayesian Optimization with Density-Ratio Estimation
  ☆24Updated 3 years ago