ec6980's Stars
plaborie/cpoptimizer-examples
Examples and guidelines for modeling and solving combinatorial optimization problems with IBM ILOG CP Optimizer
airbus/discrete-optimization
Discrete Optimization is a python library to ease the definition and re-use of discrete optimization problems and solvers.
IBMDecisionOptimization/docplex-examples
These samples demonstrate how to use the DOcplex library to model and solve optimization problems.
royceda/RCPSP
implementation of RCPSP in C++ by using concert lib by IBM
sydney-machine-learning/MEHH_RCPSP
MAP-Elites Hyper-Heuristic based algorithm for generating schedules for the Resource Constrained Project Scheduling Problem
DEAP/deap
Distributed Evolutionary Algorithms in Python
forfrt/Hyper_Heuristic_Framework
A Hyper-Heuristic framework
jonfink/GP
C++ implementation of Gaussian process regression
hchasestevens/monkeys
A strongly-typed genetic programming framework for Python
automl/auto-sklearn
Automated Machine Learning with scikit-learn
chgagne/beagle
A generic C++ framework for evolutionary computation
trevorstephens/gplearn
Genetic Programming in Python, with a scikit-learn inspired API
EpistasisLab/tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.