Alternatives and similar repositories for Convex-Optimization

Users that are interested in Convex-Optimization are comparing it to the libraries listed below

• TueVJ / PyGuEx
  Examples of optimization problems in Python with Gurobi
  ☆28Updated 9 years ago
• khalil-research / Neur2RO
  ☆26Updated 7 months ago
• goerigk / RO-DNN
  Data and code for the paper Data-Driven Robust Optimization using Unsupervised Deep Learning written by Marc Goerigk and Jannis Kurtz
  ☆24Updated 4 years ago
• rohitkannan / DD-SAA
  Codes for the paper "Data-Driven Sample Average Approximation with Covariate Information"
  ☆12Updated 2 years ago
• zhengang-zhong / distributionally_robust_optimization
  ☆37Updated 3 years ago
• Sandbergo / branch2learn
  Learning to Branch in Mixed Integer Linear Programming with Graph Convolutional Neural Networks in Ecole
  ☆19Updated 2 years ago
• mli171 / Stochastic-Optimization
  Project for Stochastic Programming
  ☆21Updated 7 years ago
• selvi-aras / convex-max
  Data and codes of the paper "Convex Maximization via Adjustable Robust Optimization"
  ☆19Updated 3 years ago
• JayMan91 / aaai_predit_then_optimize
  Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"
  ☆38Updated last year
• singfie / Data-Driven-Optimization
  A repository holding methods from data-driven-optimization used in data science and operations research including sample average approxim…
  ☆21Updated 5 years ago
• khalil-research / Multi-Task_Predict-then-Optimize
  Multi-task end-to-end predict-then-optimize
  ☆12Updated 2 years ago
• michaelzcjia / smart_predict_optimize
  MIE424 Group Project: smart_predict_optimize
  ☆14Updated 4 years ago
• wangtianyu61 / robust-stochastic-portfolio-optimization
  the codes and some preliminary progress in the work of robust stochastic portfolio optimization
  ☆11Updated 4 years ago
• CausalML / StochOptForest
  Replication Code for Paper "Stochastic Optimization Forests".
  ☆20Updated 3 years ago
• ankurzing / bleaq2
  Bilevel Optimization Algorithm
  ☆42Updated 3 years ago
• yuri-tavares / benders-decomposition
  Implementation of original Benders procedures in Python
  ☆9Updated 6 years ago
• Feeling-well / robust-optimization
  learn from xprog and bertsimas's paper(price of robustness)
  ☆20Updated 6 years ago
• julienkeutchayan / StochOptim
  StochOptim is a Stochastic Optimization package with scenario-generation tools for two- and multi-stage problems
  ☆24Updated 2 years ago
• nkpanda97 / stochastic-investment-planning
  Solution of a two-stage stochastic model useful for investment planning using pyomo and mpi-sppy.
  ☆8Updated last year
• marcocaserta / lotsizing
  Multi-item multi-period lot sizing using Benders Decomposition
  ☆15Updated 6 years ago
• AustinLBuchanan / Combinatorial-Optimization-in-Gurobi
  Combinatorial Optimization in Gurobi
  ☆44Updated 2 years ago
• mtanneau / or_tutorials
  Tutorial on Benders decomposition and acceleration techniques
  ☆16Updated 2 years ago
• LucasBoTang / Coursera_Discrete_Optimization
  Exact and meta-heuristic algorithms for NP problems
  ☆21Updated 5 years ago
• stellatogrp / mro_experiments
  ☆28Updated 3 months ago
• aigerimb / FFEVSS
  ☆10Updated 4 years ago
• jiedxu / BendersOptim
  Benders decomposition to solve mixed integer linear programming, especially stochastic programming in seconds!
  ☆24Updated 5 years ago
• ChongAih / Transactive-Energy-with-Reinforcment-Learning-Deep-Q-Network
  Energy trading using DQN
  ☆26Updated 5 years ago
• xb00dx / ConvertChanceConstraint-ccc
  ConvertChanceConstraint (ccc): a Matlab toolbox for Chance-constrained Optimization
  ☆58Updated 5 years ago
• jiedxu / MatrixOptim.jl
  Data-driven decision making under uncertainty using matrices
  ☆30Updated 7 months ago
• nmchaves / admm-for-lp
  Experiments to speed up ADMM optimization algorithm for linear & semidefinite programming
  ☆43Updated 8 years ago