Alternatives and similar repositories for mlrose

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

• hiive / mlrose
  Python package for implementing a number of Machine Learning, Randomized Optimization and SEarch algorithms.
  ☆95Updated 3 months ago
• cmaron / CS-7641-assignments
  CS 7641 - All the code
  ☆157Updated last year
• hiive / hiivemdptoolbox
  Markov Decision Process (MDP) Toolbox for Python
  ☆21Updated 2 years ago
• mohamedameen93 / CS-7641-Machine-Learning-Notes
  In this repository, I will publish my notes for GaTech's Machine Learning course CS7641.
  ☆217Updated 4 years ago
• WillKoehrsen / hyperparameter-optimization
  Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
  ☆632Updated 2 years ago
• MLBazaar / BTB
  A simple, extensible library for developing AutoML systems
  ☆175Updated last year
• DEAP / notebooks
  Notebooks on how to use Distributed Evolutionary Algorithm in Python (DEAP)
  ☆235Updated 3 years ago
• Menelau / DESlib
  A Python library for dynamic classifier and ensemble selection. Note that this repository is just a fork. The original repository is host…
  ☆73Updated last year
• eternalmothra / ml_cheat_sheet
  Machine Learning Cheat Sheet
  ☆46Updated 10 years ago
• pablormier / yabox
  Yet another black-box optimization library for Python
  ☆137Updated 2 years ago
• ameya98 / GeneticAlgorithmsRepo
  Genetic algorithm packages for optimization in Python.
  ☆80Updated 6 years ago
• wujian16 / Cornell-MOE
  A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
  ☆270Updated 5 years ago
• SheffieldML / GPyOpt
  Gaussian Process Optimization using GPy
  ☆944Updated 2 years ago
• remiomosowon / pyeasyga
  A simple and easy-to-use implementation of a Genetic Algorithm library in Python
  ☆130Updated 3 years ago
• tirthajyoti / Interactive_Machine_Learning
  IPython widgets, interactive plots, interactive machine learning
  ☆151Updated 6 years ago
• kylewest520 / CS-7641---Machine-Learning
  Repo for assignments for Georgia Tech's CS 7641 course
  ☆9Updated 3 years ago
• fastai / numerical-linear-algebra-v2
  Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program
  ☆275Updated 6 years ago
• TheLoneNut / CorrelationMatrixClustering
  An example on how Correlation Matrix can be displayed and clustered
  ☆54Updated 5 years ago
• JonathanTay / CS-7641-assignment-2
  (cleaned) code for OMSCS CS 7641 Assignment 2
  ☆20Updated 7 years ago
• flytxtds / AutoGBT
  AutoGBT is used for AutoML in a lifelong machine learning setting to classify large volume high cardinality data streams under concept-dr…
  ☆114Updated 5 years ago
• gdikov / hypertunity
  A toolset for black-box hyperparameter optimisation.
  ☆136Updated 5 years ago
• chrisstroemel / Simple
  Experimental Global Optimization Algorithm
  ☆483Updated 7 years ago
• JonathanTay / CS-7641-assignment-4
  (cleaned) code for OMSCS CS 7641 Assignment 4
  ☆12Updated 7 years ago
• mohamedameen93 / CS-7642-Reinforcement-Learning-Notes
  In this repository, I will publish my notes for GaTech's Reinforcement Learning course CS7642.
  ☆36Updated 4 years ago
• JonathanTay / CS-7641-assignment-1
  (cleaned) code for OMSCS CS 7641 Assignment 1
  ☆56Updated 7 years ago
• groverpr / Machine-Learning
  Notes for machine learning
  ☆219Updated 2 years ago
• manifoldai / mf-eng-public
  ☆51Updated 6 years ago
• ivan-vasilev / advanced-deep-learning-with-python
  Advanced Deep Learning with Python
  ☆109Updated 3 years ago
• automl / BOAH
  BOAH: Bayesian Optimization & Analysis of Hyperparameters
  ☆67Updated 5 years ago
• pushkar / ABAGAIL
  The library contains a number of interconnected Java packages that implement machine learning and artificial intelligence algorithms. The…
  ☆247Updated last year