coderwjq

coderwjq's Stars

• OptMLGroup/VRP-RL

  Reinforcement Learning for Solving the Vehicle Routing Problem

  Language:Python607217

• akaraspt/deepsleepnet

  DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

  Language:Python406156

• rsantana-isg/Mateda3

  Mateda3 version updated for Matlab2020 and adding new functionalities

  Language:MATLAB61

• akaraspt/tinysleepnet

  TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG by Akara Supratak and Yike Guo from The Faculty of ICT, Mahidol University and Imperial College London respectively

  Language:Python12046

• mattianeroni/2D-Packing

  Some classic algorithms for 2-dimensional bin packing problem

  Language:Python6

• e5120/EDAs

  Implementation of Estimation of Distribution Algorithm (EDA)

  Language:Python73

• Aihong-Sun/PhD-Thesis-Projects

  This repository contains the code of the deep MARL-based dynamic scheduling algorithms in job shop and flexible job shop

  6625

• yuan0038/GraphTheoryHomework

  using Nearest Neighbor to get the approximate solution of TSP

  Language:Python2

• XinJingHao/DRL-Pytorch

  Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)

  Language:Python1.4k171

• ruteee/K2-Algorithm

  Python implementation of the K2 algorithm for structural learning of Bayesian Networks.

  Language:Jupyter Notebook61

• BetterBench/2D-Binnnig-BottomLeft-Python

  python实现二维装箱Bottom-Left算法，以及用人工蜂群算法进行改进

  Language:Python192

• geatpy-dev/geatpy

  Evolutionary algorithm toolbox and framework with high performance for Python

  Language:Python2k727

• Shivvrat/bayesian-networks

  Implementation of various structure and parameter learning algorithms for Bayesian networks

  Language:Python1

• TM111/Learning_Structure_of_Bayesian_Networks-Artificial_Intelligence

  Learning of the structure of Bayesian networks (2017)

  Language:Python1

• aminbavand/Bayesian-Network-Structure-Learning

  Language:Python2

• wt-hu/Acc-pyCausalFS

  A python software toolbox for accelerating existing Bayesian Network structure learning algorithms without sacrificing accuracy.

  Language:Python51

• Shivvrat/Learning-Algorithms-for-Bayesian-Networks

  Implementation of various structure and parameter learning algorithms for Bayesian networks

  Language:Python2

• ninaboord/bayesian-structure-learning

  Takes in a dataset of multiple variables and their instantiations. Outputs the optimal bayesian network (via networkX) using a scoring algorithm and K2 search.

  Language:Python2

• bindra41048/StructureLearningLibraries

  Python library to run various heuristic algorithms for online structure learning of Bayesian Networks.

  Language:Python9

• scakc/NPBCL

  Bayesian Structure Adaptation for Continual Learning. A non-parametric Bayesian approach on continual learning that learns the sparse deep substructure for each task by selecting weights to be used by the deep neural network.

  Language:Python84

• pablo-tech/Bayesian-Structure-Learning

  Search of an optimal Bayesian Network, assessing its best fit to a dataset, via an objective scoring function. Created at Stanford University, by Pablo Rodriguez Bertorello

  Language:Python96

• erdogant/bnlearn

  Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.

  Language:Jupyter Notebook48046

• pgmpy/pgmpy

  Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

  Language:Python2.7k716

• Traffalafel/MscThesis

  Implementation and evaluation of multivariate estimation-of-distribution algorithms

  Language:C#1

• Kaiaysez/STAT3006-Assignment-2

  EDA, multivariate hypothesis testing and clustering

  Language:Python1

• unclearness/EBNA

  Implementation of Estimation of Bayesian Network Algorithm (EBNA), which is an Estimation of Distribution Algorithm (EDA) in Python

  Language:Python3

• yukaueno/ecga

  Extended Compact Genetic Algorithm

  Language:Jupyter Notebook4

• ciniro/estimation_distribution_algorithms

  In this repository are implementations of the following Estimation of Distribution Algorithms (EDA's): Compact Genetic Algorithm (CGA), Extended-CGA (eCGA), and Bayesian Optimization Algorithm (BOA). All source code was developed in R programming language in version 3.5.3 (MRO). If you use the source code, please include the reference to my name and this repository. I am available to answer any questions by my personal email: ciniro@gmail.com.

  Language:R1

• JoseCPereira/2015ParameterlessEvolutionaryPortfolioJava

  The Parameter-less Evolutionary Portfolio implements a heuristic that performs adaptive selection between the Parameter-less Univariate Marginal Distribution Algorithm, the Parameter-less Extended Compact Genetic Algorithm, and the Parameter-less Hierarchical Bayesian Optimization Algorithm.

  Language:Java41

• TuDo1403/Extended-Compact-Genetic-Algorithm---ECGA

  Solve model-based problems implementing Linkage Learning via Probabilistic Modeling in the Extended Compact Genetic Algorithm

  Language:Python1