Alternatives and similar repositories for OptimizationTestFunctions

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

• nathanrooy / landscapes
  A dependency free library of standardized optimization test functions written in pure Python.
  ☆62Updated last year
• AxelThevenot / Python_Benchmark_Test_Optimization_Function_Single_Objective
  ☆87Updated 2 years ago
• PredictiveIntelligenceLab / JAX-BO
  ☆30Updated 3 years ago
• MilesCranmer / pysr_paper
  A paper describing the implementation of PySR and SymbolicRegression.jl
  ☆64Updated last year
• MilesCranmer / sympy2jax
  Turning SymPy expressions into JAX functions
  ☆45Updated 4 years ago
• omron-sinicx / srsd-benchmark
  [DMLR] Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery
  ☆37Updated last year
• druidowm / OccamNet_Public
  ☆19Updated 3 years ago
• patrick-kidger / sympytorch
  Turning SymPy expressions into PyTorch modules.
  ☆152Updated 2 years ago
• mfinzi / constrained-hamiltonian-neural-networks
  ☆112Updated 4 years ago
• juliagusak / neural-ode-norm
  Models and code for the ICLR 2020 workshop paper "Towards Understanding Normalization in Neural ODEs"
  ☆16Updated 5 years ago
• Zymrael / PortHamiltonianNN
  Port-Hamiltonian Approach to Neural Network Training
  ☆24Updated 5 years ago
• luckystarufo / pySINDy
  SINDy (Sparse Identification of Nonlinear Dynamics) algorithms
  ☆79Updated 2 years ago
• baptistar / BOCS
  Bayesian Optimization of Combinatorial Structures
  ☆99Updated 6 years ago
• pilancilab / scnn
  Scalable Convex Neural Networks
  ☆24Updated 6 months ago
• cagatayyildiz / npde
  Nonparametric Differential Equation Modeling
  ☆56Updated last year
• cagatayyildiz / npode
  Learning unknown ODE models with Gaussian processes
  ☆27Updated 7 years ago
• martius-lab / EQL
  Equation Learner, a neural network approach to symbolic regression
  ☆84Updated last year
• ORF522 / companion
  Supporting material for Princeton ORF522
  ☆14Updated 2 months ago
• QUVA-Lab / COMBO
  ☆50Updated last year
• EvoConJP / CMA-ES_with_Margin
  (GECCO 2022) CMA-ES with Margin: Lower-Bounding Marginal Probability for Mixed-Integer Black-Box Optimization
  ☆32Updated last year
• MIT-Lu-Lab / MPAX
  Mathematical Programming in JAX
  ☆116Updated 5 months ago
• DiffEqML / torchcontrol
  A PyTorch library for all things nonlinear control and reinforcement learning.
  ☆47Updated 4 years ago
• Stefan-Endres / shgo
  Simplicial Homology Global Optimization
  ☆53Updated 7 months ago
• lindonroberts / trust-region
  Python trust-region subproblem solvers for nonlinear optimization
  ☆29Updated this week
• gugarosa / learnergy
  💡 Learnergy is a Python library for energy-based machine learning models.
  ☆69Updated 8 months ago
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆53Updated 2 years ago
• cog-imperial / GPdoemd
  Design of experiments for model discrimination using Gaussian process surrogate models
  ☆36Updated 6 years ago
• martius-lab / CombOptNet
  Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}
  ☆72Updated 3 years ago
• ryojitanabe / reproblems
  A set of real-world multi-objective optimization problems
  ☆56Updated 4 years ago
• IBM / AI-Hilbert
  AI Hilbert is an algebraic geometric based discovery system (based on Putinar's Positivstellensatz), that enables the discovery of fundam…
  ☆37Updated 2 months ago