Alternatives and similar repositories for genetic_algorithm_optimization_sklearn-based

Users that are interested in genetic_algorithm_optimization_sklearn-based are comparing it to the libraries listed below

• Shmuma / Deep-Reinforcement-Learning-Hands-On
  Hands-on Deep Reinforcement Learning, published by Packt
  ☆75Updated 2 years ago
• FrancescoSaverioZuppichini / Reinforcement-Learning-Cheat-Sheet
  Reinforcement Learning Cheat Sheet
  ☆157Updated 6 years ago
• PacktPublishing / Mastering-Reinforcement-Learning-with-Python
  Mastering Reinforcement Learning with Python, published by Packt
  ☆172Updated last month
• ankonzoid / LearningX
  Deep & Classical Reinforcement Learning + Machine Learning Examples in Python
  ☆369Updated 2 years ago
• khipu-ai / practicals-2019
  Practical notebooks for Khipu 2019, held in Universidad de la República in Montevideo.
  ☆244Updated 6 years ago
• SimonOuellette35 / Introduction_to_PyMC3
  ☆39Updated 7 years ago
• takyamamoto / Hopfield-Network
  Hopfield network implemented with Python
  ☆96Updated 5 years ago
• VinF / practical_sessions_RL
  ☆28Updated 2 years ago
• jachiam / rl-intro
  ☆141Updated 7 years ago
• linker81 / Reinforcement-Learning-CheatSheet
  Cheatsheet of Reinforcement Learning (Based on Sutton-Barto Book - 2nd Edition)
  ☆58Updated 4 years ago
• tensorchiefs / dl_book
  legend
  ☆208Updated 2 years ago
• zacharyaanglin / ProbabilisticDeepLearningTensorFlow
  Material for ODSC Europe presentation -- Probabilistic Deep Learning in TensorFlow, the why and the how
  ☆72Updated 5 years ago
• FarnazAdib / Crash_course_on_RL
  This is a self-contained repository to explain two basic Reinforcement (RL) algorithms.
  ☆83Updated last year
• mimoralea / applied-reinforcement-learning
  Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks
  ☆330Updated 5 years ago
• PacktPublishing / Hands-on-Neuroevolution-with-Python
  Hands-on Neuroevolution with Python, Published by Packt
  ☆82Updated last year
• mohd-faizy / Probabilistic-Deep-Learning-with-TensorFlow
  Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of…
  ☆70Updated 3 months ago
• martyput / MDP_book
  ☆201Updated last month
• philtabor / Reinforcement-Learning-In-Motion
  Code repository for my course on the fundamentals of reinforcement learning
  ☆95Updated 6 years ago
• peterroelants / notebooks
  Collection of notebooks
  ☆17Updated last year
• iamhectorotero / rlai-exercises
  Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]
  ☆156Updated 4 years ago
• ksachdeva / rethinking-tensorflow-probability
  Statistical Rethinking (2nd Ed) with Tensorflow Probability
  ☆273Updated 3 years ago
• zjost / bayesian-linear-regression
  A python tutorial for a Bayesian treatment of Linear Regression: https://zjost.github.io/bayesian-linear-regression/
  ☆82Updated 9 years ago
• PacktPublishing / Python-Reinforcement-Learning-Projects
  Python Reinforcement Learning Projects, published by Packt
  ☆203Updated 2 years ago
• MJeremy2017 / reinforcement-learning-implementation
  Reinforcement Learning examples implementation and explanation
  ☆340Updated last year
• PacktPublishing / Reinforcement-Learning-Algorithms-with-Python
  Reinforcement Learning Algorithms with Python, Published by Packt
  ☆187Updated 2 years ago
• mtrazzi / rl-book-challenge
  self-studying the Sutton & Barto the hard way
  ☆203Updated 4 years ago
• andnp / coursera-rl-glue
  RlGlue code library used in the RL specialization on Coursera.
  ☆32Updated 2 years ago
• AlejandroSantorum / scikit-rmt
  Random Matrix Theory library - RMT analysis and simulation in Python
  ☆52Updated last month
• ajcr / em-explanation
  Notebooks explaining the intuition behind the Expectation Maximisation algorithm
  ☆40Updated 6 years ago
• fonnesbeck / mcmc_pydata_london_2019
  PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3
  ☆160Updated 5 years ago