https://github.com/d-krupke/cp-sat-log-analyzer
A webapp that visualizes and annotates your ortools' CP-SAT logs. Partially inspired by gurobi-logtools.
GraphsOptim
A package for graph optimization algorithms that rely on mathematical programming.
TrustRegionMethods
Trust region methods for nonlinear systems of equations in Julia.
https://github.com/ami-iit/liecasadi
Rigid transform using Lie groups and Dual Quaternions, written in CasADi!
https://github.com/jbrea/bayesianoptimization.jl
Bayesian optimization for Julia
energy-py-linear
Optimize energy assets using mixed-integer linear programming
https://github.com/amazon-science/mezo_svrg
Code the ICML 2024 paper: "Variance-reduced Zeroth-Order Methods for Fine-Tuning Language Models"
https://github.com/andim/scipydirect
Python wrapper to the DIRECT global optimization algorithm with scipy.optimize compatible call syntax
https://github.com/aspuru-guzik-group/golem
Golem: an algorithm for robust experiment and process optimization
RcppEnsmallen
Rcpp integration for the Ensmallen templated C++ mathematical optimization library
https://github.com/ami-iit/paper_romualdi_2022_icra_centroidal-mpc-walking
ICRA 2022 paper
https://github.com/ami-iit/paper_romualdi_viceconte_2024_humanoids_dnn-mpc-walking
Code associated to Humanoids 2024 paper submission
https://github.com/martinbiel/stochasticprograms.jl
Julia package for formulating and analyzing stochastic recourse models.
https://github.com/chrhansk/time-dependent-tsp
A MIP-based algorithm to solve the Time-Dependent TSP
https://github.com/critical-infrastructure-systems-lab/vicresopt
VIC-ResOpt: Optimizing water reservoir Operations in the Variable Infiltration Capacity model
https://github.com/angrymaciek/efcomp
Advanced methods for efficient scientific computing in Python/R/C++
doepipeline
A python package for optimizing processing pipelines using statistical design of experiments (DoE).
https://github.com/kul-optec/abstractoperators.jl
Abstract operators for large scale optimization in Julia
penfa
R package for penalized factor analysis via trust-region algorithm and automatic multiple tuning parameter selection
https://github.com/awslabs/amazon-accessible-rl-sdk
A2RL is a Python library for offline reinforcement learning
https://github.com/benhid/sequoya
Solving Multiple Sequence Alignment (MSA) problems with multi-objective metaheuristics
https://github.com/anuragagrawaal/pyportfolioanalysis
'Portfolio Analysis, methods for portfolio optimization'
https://github.com/cvanaret/nonconvex_solver_comparison
This repo collects results of nonlinear optimization solvers on standard benchmark problems
https://github.com/felipemarkson/munozdelgado2014
Implementation on JuMP of Distribution Expansion Planning Model proposed by Muñoz-Delgado et al. (2014).
https://github.com/brianpugh/micropython-native-module-template
Template for creating Micropython native module libraries with pre-built binaries
https://github.com/bbopt/hypernomad
A library for the hyperparameter optimization of deep neural networks
https://github.com/lcsrodriguez/optimalhft
HFT & Stochastic control numerical implementations from "Optimal high frequency trading with limit and market orders" (GUILBAUD & PHAM)
https://github.com/cran-task-views/optimization
CRAN Task View: Optimization and Mathematical Programming
https://github.com/kul-optec/panoc.jl
Newton-type accelerated proximal gradient method in Julia
2022-code-tcns-decomposition-approach-to-multi-agent-systems-with-bernoulli-packet-loss
Code for the paper "A Decomposition Approach to Multi-Agent Systems with Bernoulli Packet Loss" by C. Hespe, H. Saadabadi, A. Datar, H. Werner and Y. Tang
PartiallySeparableNLPModels
A three-way bridge between ExpressionTreeForge.jl, PartitionedStructures.jl and PartiallySeparableSolvers.jl
cocons
R package for nonstationary spatial modeling with covariate-based covariance functions
https://github.com/danielvandh/profilelikelihood.jl
Methods for profile likelihood analysis.
veragrid
VeraGrid, a cross-platform power systems software written in Python with user interface, used in academia and industry.
ClimateMARGO
Julia implementation of MARGO, an idealized climate-economic modelling framework for Optimizing trade-offs between emissions Mitigation, Adaptation, carbon dioxide Removal, and solar Geoengineering.
rl-based-reactor-design-optimization
Source code for nuclear fusion reactor design optimization through deep reinforcement learning
control-neuralode
Neural ODEs as Feedback Policies for Nonlinear Optimal Control (IFAC 2023) https://doi.org/10.1016/j.ifacol.2023.10.1248
evobandits
cutting-edge optimization algorithm that merges genetic algorithms and multi-armed bandit strategies to efficiently solve stochastic problems
fwt_wec_applied_energy_2022
The power balancing benefits of wave energy converters in offshore wind-wave farms with energy storage
https://github.com/bbarclay/resonance-guided-search
A novel heuristic framework for pathfinding and optimization based on adaptability in conserved systems
mafese
Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python
awesome-arm-in-smart-agriculture
A collection of literature on the use of association rule mining methods in smart agriculture
https://github.com/complight/chromacorrect
:rainbow: ChromaCorrect: Prescription Correction in Virtual Reality Headsets through Perceptual Guidance
GraphCalc
GraphCalc: A Python Package for Computing Graph Invariants in Automated Conjecturing Systems - Published in JOSS (2025)
MDPSolver
MDPSolver: An Efficient Solver for Markov Decision Processes - Published in JOSS (2025)
A Julia package for bilevel optimization problems
A Julia package for bilevel optimization problems - Published in JOSS (2019)
WaterModels.jl
A Julia/JuMP Package for Water Distribution Network Optimization
sleipnirgroup-jormungandr
A linearity-exploiting sparse nonlinear constrained optimization problem solver that uses the interior-point method.
org.cicirello
Experiments with simulated annealing and an optimized version of the modified lam adaptive annealing schedule
differentiablefrankwolfe.jl
Differentiable wrapper for FrankWolfe.jl convex optimization routines
p3d-dfs
Set of parallel Branch-and-Bound skeletons in Chapel targeting CPU-based systems at every scale.
deepmodeloptim
Stochastic Testing and Input Manipulation for Unbiased Learning Systems
niarules
Numerical Association Rule Mining using Population-Based Nature-Inspired Algorithms
REopt_API
The model for the REopt API, which is used as the back-end for the REopt Webtool (reopt.nrel.gov/tool), and can be accessed directly via the NREL Developer Network (https://developer.nrel.gov/docs/energy-optimization/reopt)
delicoco-ieee-transactions
In compressed decentralized optimization settings, there are benefits to having multiple gossip steps between subsequent gradient iterations, even when the cost of doing so is appropriately accounted for e.g. by means of reducing the precision of compressed information.
cooper-optim
A general-purpose, deep learning-first library for constrained optimization in PyTorch
binbro_max_uflp
https://github.com/alberto-santini/bap-solvers-instances
Instances and solver implementation for the Berth Allocation Problem.
https://github.com/amdresearch/npueval
NPUEval is an LLM evaluation dataset written specifically to target AIE kernel code generation on RyzenAI hardware.
https://github.com/anindex/ssax
Implementation of Sinkhorn Step in JAX, NeurIPS 2023.
https://github.com/arunoruto/lumafit
A Numba-accelerated Levenberg-Marquardt fitting library
https://github.com/ceyron/trainax
Training methodologies for autoregressive neural operators in JAX.
Boscia
Mixed-Integer Convex Programming: Branch-and-bound with Frank-Wolfe-based convex relaxations
adasamp-pareto
Adaptive optimization of black-box multi-objective optimization problems with binary constraints using machine learning.
qptabsearch
Tableau-based protein substructure search using quadratic programming
sms
Code to reproduce the experiments of the ICLR24-paper: "Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging"