Alternatives and similar repositories for pycma

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

• CyberAgentAILab / cmaes
  Python library for CMA Evolution Strategy.
  ☆465Updated 3 months ago
• cvxpy / cvxpylayers
  Differentiable convex optimization layers
  ☆2,007Updated this week
• SheffieldML / GPyOpt
  Gaussian Process Optimization using GPy
  ☆950Updated 2 years ago
• numbbo / coco
  Numerical Black-Box Optimization Benchmarking Framework
  ☆289Updated 10 months ago
• hardmaru / estool
  Evolution Strategies Tool
  ☆953Updated 2 years ago
• meta-pytorch / botorch
  Bayesian optimization in PyTorch
  ☆3,402Updated this week
• facebookresearch / nevergrad
  A Python toolbox for performing gradient-free optimization
  ☆4,125Updated 5 months ago
• automl / SMAC3
  SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
  ☆1,202Updated last week
• esa / pygmo2
  A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model…
  ☆510Updated last year
• srom / cma-es
  Covariance Matrix Adaptation Evolution Strategy (CMA-ES)
  ☆72Updated 3 years ago
• locuslab / qpth
  A fast and differentiable QP solver for PyTorch.
  ☆769Updated last year
• SheffieldML / GPy
  Gaussian processes framework in python
  ☆2,127Updated 5 months ago
• uber-research / TuRBO
  ☆213Updated last year
• GPflow / GPflow
  Gaussian processes in TensorFlow
  ☆1,893Updated 5 months ago
• cornellius-gp / gpytorch
  A highly efficient implementation of Gaussian Processes in PyTorch
  ☆3,793Updated last week
• RobertTLange / evosax
  Evolution Strategies in JAX 🦎
  ☆683Updated last month
• pymanopt / pymanopt
  Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation
  ☆870Updated 5 months ago
• locuslab / mpc.pytorch
  A fast and differentiable model predictive control (MPC) solver for PyTorch.
  ☆995Updated last year
• google / jaxopt
  Hardware accelerated, batchable and differentiable optimizers in JAX.
  ☆1,003Updated last month
• wujian16 / Cornell-MOE
  A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
  ☆272Updated 5 years ago
• uber-research / PyTorch-NEAT
  ☆561Updated 2 years ago
• Project-Platypus / Platypus
  A Free and Open Source Python Library for Multiobjective Optimization
  ☆633Updated this week
• google / brain-tokyo-workshop
  🧠🗼
  ☆1,277Updated last year
• astooke / rlpyt
  Reinforcement Learning in PyTorch
  ☆2,267Updated 4 years ago
• cvxopt / cvxopt
  CVXOPT -- Python Software for Convex Optimization
  ☆1,027Updated last month
• dietmarwo / fast-cma-es
  A Python 3 gradient-free optimization library
  ☆148Updated 2 months ago
• automl / RoBO
  RoBO: a Robust Bayesian Optimization framework
  ☆490Updated 6 years ago
• dragonfly / dragonfly
  An open source python library for scalable Bayesian optimisation.
  ☆893Updated 2 years ago
• google-deepmind / rlax
  ☆1,373Updated last month
• hjmshi / PyTorch-LBFGS
  A PyTorch implementation of L-BFGS.
  ☆621Updated 2 years ago