Alternatives and similar repositories for swarmopt

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

• Hvass-Labs / MetaOps
  Tuning the Parameters of Heuristic Optimizers (Meta-Optimization / Hyper-Parameter Optimization)
  ☆55Updated 6 years ago
• lmarti / evolutionary-multiobjective-optimization
  A Jupyter/IPython notebook tutorial on evolutionary multi-objective optimization.
  ☆27Updated 5 months ago
• industrial-optimization-group / DESDEO
  An open source framework for interactive multiobjective optimization methods
  ☆36Updated this week
• ecbtln / dynamics_sim
  A generic evolutionary game theory simulation library
  ☆70Updated 11 years ago
• tsyet12 / EvoOpt
  Python implementation of state-of-art meta-heuristic and evolutionary optimization algorithms.
  ☆13Updated 3 years ago
• cavaunpeu / flight-delays
  Transfer learning for flight-delay prediction via variational autoencoders in Keras
  ☆34Updated 8 years ago
• Hvass-Labs / swarmops
  Heuristic Optimization for Python
  ☆73Updated 5 years ago
• locuslab / e2e-model-learning
  Task-based end-to-end model learning in stochastic optimization
  ☆208Updated 4 years ago
• vtopt / qnstop
  Quasi-Newton Algorithm for Stochastic Optimization
  ☆10Updated 3 years ago
• marcovirgolin / pyNSGP
  Multi-objective Genetic Programming by NSGA-II in Python
  ☆33Updated 3 years ago
• strongio / evolutionary-optimization
  A collection of black-box optimizers with a focus on evolutionary algorithms
  ☆27Updated 5 years ago
• anshul-musing / single-echelon-inventory-assessment
  inventory simulation modules for single-echelon supply chain
  ☆13Updated 6 years ago
• tadatoshi / metaheuristic_algorithms_python
  Various metaheuristic algorithms implemented in Python.
  ☆51Updated 9 years ago
• oyamad / game_theory_models
  Python code for game theory modeling
  ☆34Updated 2 years ago
• ghackebeil / pybnb
  A parallel branch-and-bound engine for Python. (https://pybnb.readthedocs.io/)
  ☆68Updated 4 years ago
• avinashu1980 / Intro_Python_Gurobi
  ☆15Updated 8 years ago
• LarrySnyder / RLforInventory
  Materials for "RL for Inventory Optimization", Day 4 of the "RL for Operations Bootcamp", Kellogg School of Management, Northwestern Univ…
  ☆16Updated last year
• awslabs / or-rl-benchmarks
  The source code for the paper: 'ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems'
  ☆85Updated 4 years ago
• strongio / quantile-regression-tensorflow
  Tensorflow implementation of deep quantile regression
  ☆76Updated 2 years ago
• dustinvtran / bayesrl
  A Python library for reinforcement learning using Bayesian approaches
  ☆54Updated 10 years ago
• vignesh-viswanathan / Bayesian-Stackelberg-Games
  The three algorithms used to solve Bayesian Stackelberg Games have been implemented here.
  ☆28Updated 6 years ago
• gavento / gamegym
  A game theory framework with examples and algorithms
  ☆73Updated 6 years ago
• YungChunLu / UCI-Power-Plant
  The dataset contains 9568 data points collected from a Combined Cycle Power Plant over 6 years (2006-2011), when the plant was set to wor…
  ☆13Updated 8 years ago
• snap-stanford / snapvx
  ☆65Updated 5 years ago
• skylergrammer / SimulatedAnnealing
  ☆45Updated 4 years ago
• Networks-Learning / strategic-decisions
  Code and data for decision making under strategic behavior, NeurIPS 2020 & Management Science 2024.
  ☆29Updated last year
• Nikasa1889 / ShortTermLoadForecasting
  ☆12Updated 8 years ago
• BenderV / PrisonerDilemma
  Finding Game Theory equilibrium with machine learning agents : prisoner's dilemma
  ☆20Updated 9 years ago
• LLNL / Abmarl
  Agent Based Modeling and Reinforcement Learning
  ☆71Updated last year
• automl / ParameterImportance
  Parameter Importance Analysis Tool
  ☆77Updated 4 years ago