Alternatives and similar repositories for fast-cma-es:

Users that are interested in fast-cma-es are comparing it to the libraries listed below

• bstellato / mlopt
  The Machine Learning Optimizer
  ☆104Updated 2 years ago
• MIT-Lu-Lab / MPAX
  Mathematical Programming in JAX
  ☆76Updated last week
• CyberAgentAILab / cmaes
  Python library for CMA Evolution Strategy.
  ☆420Updated last week
• esa / pygmo2
  A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model…
  ☆476Updated 8 months ago
• srom / cma-es
  Covariance Matrix Adaptation Evolution Strategy (CMA-ES)
  ☆63Updated 3 years ago
• numericalalgorithmsgroup / pybobyqa
  Python-based Derivative-Free Optimization with Bound Constraints
  ☆81Updated 7 months ago
• Evolutionary-Intelligence / pypop
  [JMLR (CCF-A)] PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* variants (includ…
  ☆239Updated this week
• heal-research / operon
  C++ Large Scale Genetic Programming
  ☆164Updated last week
• cvxgrp / diffcp
  Differentiation through cone programs
  ☆99Updated 3 months ago
• ekhoda / optimization_problem_libraries
  A Library of Optimization Problem Libraries
  ☆50Updated 3 years ago
• MOSEK / Tutorials
  A collection of tutorials for the MOSEK package
  ☆112Updated last month
• fabian-sp / ncOPT
  Constrained optimization for Pytorch using the SQP-GS algorithm
  ☆33Updated 11 months ago
• nathanrooy / landscapes
  A dependency free library of standardized optimization test functions written in pure Python.
  ☆61Updated last year
• numbbo / coco
  Numerical Black-Box Optimization Benchmarking Framework
  ☆279Updated 3 months ago
• ANL-CEEESA / MIPLearn
  Framework for solving discrete optimization problems using a combination of Mixed-Integer Linear Programming (MIP) and Machine Learning (…
  ☆171Updated 4 months ago
• antonior92 / ip-nonlinear-solver
  A trust-region interior-point method for general nonlinear programing problems (GSoC 2017).
  ☆37Updated 7 years ago
• MaximilianB2 / pc-gym
  Reinforcement learning environments for process control applications.
  ☆49Updated 2 months ago
• mechmotum / cyipopt
  Cython interface for the interior point optimzer IPOPT
  ☆254Updated 3 months ago
• ryojitanabe / reproblems
  A set of real-world multi-objective optimization problems
  ☆51Updated 3 years ago
• oxfordcontrol / ClarabelDocs
  Documentation for the Clarabel interior point conic solver
  ☆25Updated 11 months ago
• MilesCranmer / sympy2jax
  Turning SymPy expressions into JAX functions
  ☆45Updated 4 years ago
• anyoptimization / pysamoo
  ☆44Updated last year
• andim / scipydirect
  Python wrapper to the DIRECT global optimization algorithm with scipy.optimize compatible call syntax
  ☆30Updated 2 years ago
• microprediction / humpday
  Elo ratings for global black box derivative-free optimizers
  ☆140Updated 3 months ago
• gabro8a / STNs
  Search Trajectory Networks
  ☆28Updated last year
• DiffEqML / torchcontrol
  A PyTorch library for all things nonlinear control and reinforcement learning.
  ☆46Updated 3 years ago
• JuliaDecisionFocusedLearning / InferOpt.jl
  Combinatorial optimization layers for machine learning pipelines
  ☆120Updated 3 weeks ago
• cvxgrp / cocp
  Source code for the examples accompanying the paper "Learning convex optimization control policies."
  ☆84Updated 2 years ago
• metab0t / PyOptInterface
  Efficient modeling interface for mathematical optimization in Python
  ☆267Updated this week
• hwiberg / OptiCL
  An end-to-end framework for mixed-integer optimization with data-driven learned constraints.
  ☆122Updated last year