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

• fonnesbeck / mcmc_pydata_london_2019
  PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3
  ☆161Updated 5 years ago
• tensorchiefs / dl_book
  legend
  ☆209Updated 2 years ago
• khipu-ai / practicals-2019
  Practical notebooks for Khipu 2019, held in Universidad de la República in Montevideo.
  ☆244Updated 6 years ago
• zacharyaanglin / ProbabilisticDeepLearningTensorFlow
  Material for ODSC Europe presentation -- Probabilistic Deep Learning in TensorFlow, the why and the how
  ☆72Updated 6 years ago
• FrancescoSaverioZuppichini / Reinforcement-Learning-Cheat-Sheet
  Reinforcement Learning Cheat Sheet
  ☆157Updated 6 years ago
• jachiam / rl-intro
  ☆143Updated 7 years ago
• PacktPublishing / Mastering-Reinforcement-Learning-with-Python
  Mastering Reinforcement Learning with Python, published by Packt
  ☆177Updated last month
• junpenglao / PrecisionWorkshop1_Prep
  Preparation materials for CEAi Precision Workshop #1 on Bayesian modelling
  ☆58Updated 7 years ago
• PacktPublishing / Bayesian-Analysis-with-Python-Second-Edition
  Bayesian Analysis with Python - Second Edition, published by Packt
  ☆139Updated 5 years ago
• Shmuma / Deep-Reinforcement-Learning-Hands-On
  Hands-on Deep Reinforcement Learning, published by Packt
  ☆75Updated 2 years ago
• fonnesbeck / gp_regression
  A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)
  ☆165Updated 4 years ago
• mimoralea / applied-reinforcement-learning
  Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks
  ☆331Updated 5 years ago
• ksachdeva / rethinking-tensorflow-probability
  Statistical Rethinking (2nd Ed) with Tensorflow Probability
  ☆274Updated 4 years ago
• WhatIThinkAbout / BabyRobot
  A Baby Robot's Guide to Reinforcement Learning
  ☆191Updated 2 years ago
• mtrazzi / rl-book-challenge
  self-studying the Sutton & Barto the hard way
  ☆204Updated 4 years ago
• AidanRocke / Free_Energy_experiments
  An exploration of the free energy principle using deep reinforcement learning
  ☆49Updated 7 years ago
• SforAiDl / genrl
  A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibilit…
  ☆414Updated 3 years ago
• gordicaleksa / pytorch-learn-reinforcement-learning
  A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for l…
  ☆159Updated 4 years ago
• IanQS / numpy_to_jax
  Teaching Jax from a working-example standpoint
  ☆32Updated 4 months ago
• PacktPublishing / Hands-on-Neuroevolution-with-Python
  Hands-on Neuroevolution with Python, Published by Packt
  ☆82Updated last year
• williamgilpin / fnn
  Embed strange attractors using a regularizer for autoencoders
  ☆135Updated 4 years ago
• gwgundersen / ml
  A didactic Python library with well-commented and annotated implementations of machine learning algorithms.
  ☆56Updated 5 years ago
• rlsummerschool / practical-sessions
  ☆22Updated 2 years ago
• martyput / MDP_book
  ☆208Updated 3 months ago
• erachelson / RLclass
  ☆22Updated 5 years ago
• bertdv / BMLIP
  Course 5SSD0 - Bayesian Machine Learning and Information Processing
  ☆51Updated 5 months ago
• probml / ssm-book
  Interactive textbook on state-space models
  ☆202Updated 2 years ago
• ADGEfficiency / rl-resources
  A curated collection of reinforcement learning resources
  ☆96Updated 2 years ago
• aloctavodia / BAP
  Bayesian Analysis with Python (Second Edition)
  ☆676Updated 2 years ago
• llSourcell / Neural_Differential_Equations
  This is the code for "Neural DIfferential Equations" By Siraj Raval on Youtube
  ☆247Updated 7 years ago