Alternatives and similar repositories for SimulatedAnnealing:

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

• lacava / few
  a feature engineering wrapper for sklearn
  ☆51Updated 4 years ago
• natekupp / ffx
  Fast Function Extraction
  ☆81Updated 4 months ago
• johannespetrat / OptML
  Implementation of several black-box optimisation methods to tune hyperparameters of machine learning models.
  ☆78Updated 6 years ago
• jnothman / searchgrid
  Helpers for constructing scikit-learn grid search
  ☆37Updated 5 years ago
• wdm0006 / sklearn-extensions
  A consolidated package of small extensions to scikit-learn
  ☆24Updated 2 years ago
• tsyet12 / EvoOpt
  Python implementation of state-of-art meta-heuristic and evolutionary optimization algorithms.
  ☆13Updated 2 years ago
• Hvass-Labs / MetaOps
  Tuning the Parameters of Heuristic Optimizers (Meta-Optimization / Hyper-Parameter Optimization)
  ☆55Updated 6 years ago
• skytreader / CleverAlgorithms-Python
  The Clever Algorithms project is an effort to describe a large number of algorithmic techniques from the field of Artificial Intelligence…
  ☆29Updated 6 years ago
• Hvass-Labs / swarmops
  Heuristic Optimization for Python
  ☆72Updated 5 years ago
• hyperopt / hyperopt-gpsmbo
  Gaussian Process optimization algorithm for Hyperopt
  ☆24Updated 10 years ago
• sigopt / evalset
  Benchmark suite of test functions suitable for evaluating black-box optimization strategies
  ☆50Updated 8 months ago
• automl / HPOlib1.5
  ☆69Updated 4 years ago
• genixpro / hypermax
  Better, faster hyper-parameter optimization
  ☆113Updated last year
• NICTA / revrand
  A library of scalable Bayesian generalised linear models with fancy features
  ☆60Updated 7 years ago
• EvoML / EvoML
  Using Genetic Algorithms to aid Machine Learning
  ☆18Updated 7 years ago
• automl / pysmac
  simple python interface to SMAC.
  ☆21Updated 6 years ago
• markm541374 / gpbo
  gpbo
  ☆25Updated 4 years ago
• EvgeniDubov / hellinger-distance-criterion
  Random Forest model using Hellinger Distance as split criterion
  ☆33Updated last year
• MLWave / koolmogorov
  Koolmogorov is a Python library based on CompLearn
  ☆68Updated 7 years ago
• lmjohns3 / kohonen
  Kohonen vector quantizers (SOM, NG, GNG)
  ☆71Updated 6 years ago
• evfro / TensorGlue
  Tensor-based recommender system that incorporates categorical contextual information into collaborative filtering workflow.
  ☆26Updated 9 years ago
• albietz / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 2 years ago
• amueller / talks_odt
  Slides and materials for most of my talks by year
  ☆92Updated last year
• vitords / HoeffdingTree
  A Python implementation of the Hoeffding Tree algorithm.
  ☆48Updated last year
• maxpumperla / entropy-mdlp
  Minimum description length principle algorithm in Python, for optimal binning of continuous variables
  ☆59Updated last year
• GaelVaroquaux / interpreting_ml_tuto
  Tutorial on interpreting and understanding machine learning models
  ☆68Updated 6 years ago
• erlendd / Neighborhood-Components-Analysis-in-Python
  A Python gradient-descent implementation of the Neighborhood Components Analysis (NCA) method for metric learning.
  ☆15Updated 8 years ago
• MLWave / RGF-sklearn
  Scikit-learn API toy wrapper for Regularized Greedy Forests
  ☆44Updated 8 years ago
• olivier-s-j / TomekLink
  Remove Tomek Links from your data.
  ☆30Updated 7 years ago
• charlesmartin14 / emf-rbm
  Extended Mean Field Restricted Boltzmann Machine
  ☆17Updated 7 years ago