Alternatives and similar repositories for sdaopt

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

• eriknw / dask-patternsearch
  Scalable pattern search optimization with dask
  ☆22Updated 8 years ago
• bhmm / bhmm
  Bayesian hidden Markov models toolkit
  ☆47Updated 5 years ago
• msmbuilder / osprey
  🦅Hyperparameter optimization for machine learning pipelines 🦅
  ☆73Updated 4 years ago
• NICTA / revrand
  A library of scalable Bayesian generalised linear models with fancy features
  ☆60Updated 8 years ago
• jakevdp / pypropack
  A python wrapper for the PROPACK library
  ☆51Updated 8 years ago
• aatapa / RLScore
  ☆68Updated last year
• PMBio / pygp
  A Gaussian process toolbox in python
  ☆42Updated 13 years ago
• cfusting / fast-symbolic-regression
  Blazing fast symbolic regresison
  ☆76Updated 5 years ago
• mdp-toolkit / mdp-toolkit
  Official Source-Code of the Modular toolkit for Data Processing (MDP)
  ☆91Updated 9 months ago
• ffx-org / ffx
  Fast Function Extraction
  ☆85Updated 2 months ago
• michaelnowotny / cocos
  Numeric and scientific computing on GPUs for Python with a NumPy-like API
  ☆93Updated 4 years ago
• suriyadeepan / pm-pyro
  PyMC3-like Interface for Pyro
  ☆38Updated 5 years ago
• wildtreetech / bayesian-optimisation
  Finding the best parameters for any algorithm
  ☆42Updated 7 years ago
• glennq / tga
  Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python
  ☆23Updated 9 years ago
• b45ch1 / algopy
  AlgoPy is a Research Prototype for Algorithmic Differentation in Python
  ☆87Updated last year
• lmc2179 / bayesian_bootstrap
  bayesian bootstrapping in python
  ☆121Updated 3 years ago
• Ambrosys / glyph
  a python 3 library based on deap providing abstraction layers for symbolic regression problems.
  ☆94Updated 3 years ago
• andim / noisyopt
  Python library for optimizing noisy functions.
  ☆88Updated 3 years ago
• abietti / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 2 years ago
• josejimenezluna / pyGPGO
  Bayesian optimization for Python
  ☆246Updated 3 years ago
• sods / paramz
  Parameterization Framework for parameterized model creation and handling.
  ☆49Updated 2 months ago
• wolfv / pyjet
  JET is a different approach to make numeric python substantially faster
  ☆66Updated 8 years ago
• mlgill / pdLSR
  Pandas-aware non-linear least squares regression using Lmfit
  ☆10Updated 9 years ago
• scikit-monaco / scikit-monaco
  Python routines for Monte Carlo integration. Written in Cython and Python for fast computations. @Naereen knows the installation is broke…
  ☆32Updated 5 months ago
• cavaunpeu / gaussian-processes
  A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.
  ☆16Updated 7 years ago
• blue-yonder / pydse
  Python package for dynamic system estimation of time series
  ☆40Updated 4 years ago
• datavaluepeople / kotsu
  Lightweight framework for structured and repeatable model validation
  ☆11Updated 2 years ago
• sigopt / evalset
  Benchmark suite of test functions suitable for evaluating black-box optimization strategies
  ☆52Updated 3 months ago
• djsutherland / cyflann
  A Cython interface to FLANN
  ☆24Updated 4 years ago
• minrk / condamagic
  %conda magic for IPython
  ☆28Updated 8 years ago