Alternatives and similar repositories for noisyopt

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

• Ambrosys / glyph
  a python 3 library based on deap providing abstraction layers for symbolic regression problems.
  ☆94Updated 3 years ago
• jmetzen / gp_extras
  Additional kernels that can be used with scikit-learn's Gaussian Process module
  ☆82Updated last year
• pbrod / numdifftools
  Solve automatic numerical differentiation problems in one or more variables.
  ☆272Updated this week
• pypmc / pypmc
  Clustering with variational Bayes and population Monte Carlo
  ☆50Updated 2 weeks ago
• diana-hep / carl
  Likelihood-free inference toolbox.
  ☆56Updated 8 years ago
• cvxgrp / ncvx
  ☆77Updated 3 years ago
• twiecki / CythonGSL
  Cython interface for the GNU Scientific Library (GSL).
  ☆120Updated 3 years ago
• dfm / george
  Fast and flexible Gaussian Process regression in Python
  ☆458Updated last week
• eth-cscs / abcpy
  ABCpy package
  ☆116Updated last year
• b45ch1 / algopy
  AlgoPy is a Research Prototype for Algorithmic Differentation in Python
  ☆87Updated last year
• SamDuffield / mocat
  All things Monte Carlo, written in JAX.
  ☆31Updated 2 years ago
• pablormier / yabox
  Yet another black-box optimization library for Python
  ☆138Updated 2 years ago
• johannbrehmer / simulator-mining-example
  Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…
  ☆33Updated 5 years ago
• cvxgrp / dccp
  A CVXPY extension for convex-concave programming
  ☆133Updated this week
• ebonilla / AutoGP
  Code for AutoGP
  ☆27Updated 6 years ago
• pints-team / pints
  Probabilistic Inference on Noisy Time Series
  ☆240Updated this week
• mattja / nsim
  Large scale simulation of ODEs or SDEs, analyze time series.
  ☆25Updated 6 years ago
• numericalalgorithmsgroup / pybobyqa
  Python-based Derivative-Free Optimization with Bound Constraints
  ☆87Updated last year
• elfi-dev / elfi
  ELFI - Engine for Likelihood-Free Inference
  ☆277Updated 4 months ago
• mfouesneau / NUTS
  python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011
  ☆132Updated 4 years ago
• Stefan-Endres / shgo
  Simplicial Homology Global Optimization
  ☆53Updated 5 months ago
• mattja / sdeint
  Numerical integration of Ito or Stratonovich SDEs
  ☆167Updated 2 years ago
• janpipek / physt
  Python histogram library - histograms as updateable, fully semantic objects with visualization tools. [P]ython [HYST]ograms.
  ☆135Updated last week
• imurray / pmslice-python
  Pseudo-Marginal Slice Sampling
  ☆18Updated 9 years ago
• sods / paramz
  Parameterization Framework for parameterized model creation and handling.
  ☆49Updated 2 months ago
• bumps / bumps
  Data fitting with uncertainty analysis
  ☆56Updated last week
• robertnishihara / gess
  An MCMC algorithm for sampling continuous probability distributions in parallel
  ☆19Updated 10 years ago
• PredictiveScienceLab / pysmc
  Sequential Monte Carlo working on top of pymc
  ☆49Updated 6 years ago
• cranmer / active_sciencing
  active learning + reusable workflows + likelihood free inference
  ☆61Updated 8 years ago
• glouppe / recnn
  Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"
  ☆47Updated 6 years ago