Alternatives and similar repositories for multi_objective_optimisation

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

• fonnesbeck / mcmc_pydata_london_2019
  PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3
  ☆160Updated 5 years ago
• microprediction / humpday
  Elo ratings for global black box derivative-free optimizers
  ☆143Updated 8 months ago
• EthanRosenthal / skits
  scikit-learn-inspired time series
  ☆200Updated last year
• juanitorduz / btsa
  Berlin Time Series Analysis Repository
  ☆100Updated 2 years ago
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆78Updated last month
• fonnesbeck / probabilistic_python
  PyData London 2022 Tutorial
  ☆67Updated 3 years ago
• MBrouns / timeseers
  Time should be taken seer-iously
  ☆317Updated 2 years ago
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆225Updated 2 years ago
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆117Updated 2 years ago
• tjefferies / pymetalog
  Public repo for the pymetalog project
  ☆39Updated 3 years ago
• sktime / sktime-tutorial-pydata-berlin-2022
  ☆38Updated 3 years ago
• fonnesbeck / Bayes_Computing_Course
  ☆232Updated 3 years ago
• hyosubkim / bayes-toolbox
  bayes-toolbox
  ☆93Updated 3 months ago
• ianozsvald / dtype_diet
  Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM
  ☆84Updated last year
• cerlymarco / tspiral
  A python package for time series forecasting with scikit-learn estimators.
  ☆162Updated last year
• ericmjl / causality
  In which I play with the ideas surrounding causality
  ☆53Updated 3 years ago
• jaswinder9051998 / zoofs
  zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range fr…
  ☆249Updated 3 months ago
• ritchie46 / vanilla-machine-learning
  vanilla machine learning
  ☆112Updated 2 years ago
• pymc-devs / pymc-bart
  ☆121Updated this week
• PacktPublishing / Bayesian-Analysis-with-Python-Second-Edition
  Bayesian Analysis with Python - Second Edition, published by Packt
  ☆134Updated 4 years ago
• parrt / stratx
  stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables
  ☆66Updated last year
• sktime / skpro
  A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
  ☆283Updated this week
• AllenDowney / BayesianDecisionAnalysis
  Repository for a workshop on Bayesian Decision Analysis
  ☆73Updated 2 years ago
• intive-DataScience / tbats
  BATS and TBATS forecasting methods
  ☆183Updated 2 years ago
• erdogant / distfit
  distfit is a python library for probability density fitting.
  ☆406Updated last month
• sktime / sktime-tutorial-pydata-amsterdam-2020
  Introduction to Machine Learning with Time Series at PyData Festival Amsterdam 2020
  ☆124Updated 3 years ago
• fonnesbeck / gp_regression
  A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)
  ☆165Updated 4 years ago
• jdb78 / lipo
  Global, derivative-free optimization for hyperparameter tuning
  ☆43Updated 2 years ago
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆231Updated 4 years ago
• ericmjl / dl-workshop
  Crash course to master gradient-based machine learning. Also secretly a JAX course in disguise!
  ☆229Updated last year