PasaOpasen / OptimizationTestFunctionsLinks
Collection of optimization test functions and some useful methods for working with them
☆16Updated 10 months ago
Alternatives and similar repositories for OptimizationTestFunctions
Users that are interested in OptimizationTestFunctions are comparing it to the libraries listed below
Sorting:
- Mathematical Programming in JAX☆142Updated 8 months ago
- Core Mathematical Functions for Multi-Objective Optimization☆47Updated this week
- Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}☆72Updated 3 years ago
- Port-Hamiltonian Approach to Neural Network Training☆27Updated 6 years ago
- ☆19Updated 3 years ago
- ☆30Updated 3 years ago
- A dependency free library of standardized optimization test functions written in pure Python.☆62Updated last month
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- Simplicial Homology Global Optimization☆53Updated 10 months ago
- Constrained optimization for Pytorch using the SQP-GS algorithm☆38Updated last year
- A paper describing the implementation of PySR and SymbolicRegression.jl☆66Updated 2 years ago
- ☆87Updated 3 years ago
- Scalable Convex Neural Networks☆25Updated 9 months ago
- [DMLR] Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery☆38Updated last year
- How to train a neural ODE for time series/weather forecasting☆39Updated 3 years ago
- Nonparametric Differential Equation Modeling☆56Updated last year
- ☆112Updated 4 years ago
- Python trust-region subproblem solvers for nonlinear optimization☆30Updated 3 weeks ago
- Introduction to Evolutionary Computation class☆35Updated 9 months ago
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆107Updated 2 years ago
- (GECCO 2022) CMA-ES with Margin: Lower-Bounding Marginal Probability for Mixed-Integer Black-Box Optimization☆33Updated last year
- A Python 3 gradient-free optimization library☆154Updated last week
- Reinforcement learning environments for process control applications.☆73Updated 2 months ago
- Equation Learner, a neural network approach to symbolic regression☆84Updated last year
- A PyTorch library for all things nonlinear control and reinforcement learning.☆47Updated 4 years ago
- Design of experiments for model discrimination using Gaussian process surrogate models☆36Updated 6 years ago
- Combinatorial optimization layers for machine learning pipelines☆129Updated 2 months ago
- ☆74Updated 5 years ago
- ☆48Updated 2 years ago
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆79Updated 3 years ago