financial-contagion
[WWW 2022] Supplementary Code for "Allocating Stimulus Checks in Times of Crisis"
louvain-communities-openmp
Design of OpenMP-based Parallel Louvain algorithm for community detection.
cooper-optim
A general-purpose, deep learning-first library for constrained optimization in PyTorch
org.cicirello
Code and experiment data from the paper: "Self-Tuning Lam Annealing: Learning Hyperparameters While Problem Solving"
https://github.com/cran-task-views/optimization
CRAN Task View: Optimization and Mathematical Programming
coherence
coherence integrates evolutionary computation and co-simulation for the systematic design of protocols for cell culture and biofabrication.
A Julia package for bilevel optimization problems
A Julia package for bilevel optimization problems - Published in JOSS (2019)
Powersense
Julia package with tools at the cross-section of Power System Operations, Applied Mathematics, High-Performance Computations, and Machine-Learning.
deep_learning_topology_opt
Code for paper "Self-Directed Online Machine Learning for Topology Optimization"
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
modifiedga
Modified version of a genetic algorithm developed for optimization problems with correlated variables.
cocons
R package for nonstationary spatial modeling with covariate-based covariance functions
sms
Code to reproduce the experiments of the ICLR24-paper: "Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging"
GraphCalc
GraphCalc: A Python Package for Computing Graph Invariants in Automated Conjecturing Systems - Published in JOSS (2025)
https://github.com/complight/chromacorrect
:rainbow: ChromaCorrect: Prescription Correction in Virtual Reality Headsets through Perceptual Guidance
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.
https://github.com/bbarclay/resonance-guided-search
A novel heuristic framework for pathfinding and optimization based on adaptability in conserved systems
manuls
A program for the electrostatic catalysis of chemical rections. MANULS finds the smallest electric field that removes the reaction barrier.
https://github.com/lampspuc/sarimax.jl
Julia Package with SARIMA model implementation using JuMP.
https://github.com/andre-batista/microwave-imaging
My research on Microwave Imaging.
rl-based-reactor-design-optimization
Source code for nuclear fusion reactor design optimization through deep reinforcement learning
https://github.com/amazon-science/mada_optimizer_search
Code the ICML 2024 paper: "MADA: Meta-Adaptive Optimizers through hyper-gradient Descent"
org.cicirello
Experiments with simulated annealing and an optimized version of the modified lam adaptive annealing schedule
bayesian-hyper-parameter-optimization-for-malware-detection
AI-CyberSec 2021 Workshop CEUR Publication(AI-2021 Forty-first SGAI International Conference)
cornea-stretch-and-tonometer-capture-processing
Project Supervised by Professor Jean-Marc Allain on Cornea Stretch Extraction From Tonometer Captures
https://github.com/taiizor/tauri-plugin-cache
🚀 Supercharge your Tauri app with intelligent disk & memory caching. Features TTL, compression, auto-cleanup, and cross-platform support for optimized performance.
niarules
Numerical Association Rule Mining using Population-Based Nature-Inspired Algorithms
https://github.com/aidinhamedi/ml-optimizer-benchmark
A benchmark suite for optimization algorithms in pytorch
sparklen
A statistical learning toolkit for high-dimensional Hawkes processes in Python
tsppddl
The Traveling Salesman Problem with Pickups, Deliveries and Draft Limits
https://github.com/alfa-group/robust-adv-malware-detection
[IEEE S&P Workshop 2018] "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware" Abdullah Al-Dujaili, Alex Huang, Erik Hemberg, Una-May O’Reilly
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/axsk/augmented-jump-chain
Continuation of AJC work (2020-21) with trips to hitting time optimization, spa, sqra, isokann, committor neural network, sparse boxes, voronoi linear program, meta sgd, adaptive euler maruyama
multiobjectoptimizationcableyarding
This project builds a digital twin of a forest to optimize cable road layouts in timber extraction on steep terrain. The simulation and subseqeuent optimization process computes realistic cable roads with cost-efficient supports while minimizing environmental impact. Code and visualization are provided for data processing and implementation.
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.
ExaModels
An algebraic modeling and automatic differentiation tool in Julia Language, specialized for SIMD abstraction of nonlinear programs.
deepmodeloptim
Stochastic Testing and Input Manipulation for Unbiased Learning Systems
binbro_max_uflp
codart
Source Code Automated Refactoring Toolkit
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
PartiallySeparableNLPModels
A three-way bridge between ExpressionTreeForge.jl, PartitionedStructures.jl and PartiallySeparableSolvers.jl
https://github.com/1x-technologies/wb-humanoid-mpc
Realtime Physics-Based Procedural Loco-Manipulation Planning and Control
sleipnirgroup-jormungandr
A linearity-exploiting sparse nonlinear constrained optimization problem solver that uses the interior-point method.
WaterModels.jl
A Julia/JuMP Package for Water Distribution Network Optimization
MDPSolver
MDPSolver: An Efficient Solver for Markov Decision Processes - Published in JOSS (2025)
Boscia
Mixed-Integer Convex Programming: Branch-and-bound with Frank-Wolfe-based convex relaxations
mafese
Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python
https://github.com/bbopt/stomads
StoMADS algorithm for stochastic blackbox optimization
evobandits
cutting-edge optimization algorithm that merges genetic algorithms and multi-armed bandit strategies to efficiently solve stochastic problems
bachelor_thesis_project
System for Training-based Expansion of Tools for Proper Name Mentions Recognition Based on Active Learning
stochastic-benchmark
Repository for Stochastic Optimization Solvers Benchmark code
adasamp-pareto
Adaptive optimization of black-box multi-objective optimization problems with binary constraints using machine learning.
casos
CaΣoS is a nonlinear optimization-oriented sum-of-squares toolbox based on the symbolic framework of CasADi.
ParticleScattering
ParticleScattering: Solving and optimizing multiple-scattering problems in Julia - Published in JOSS (2018)
https://github.com/cornell-zhang/heurigym
Agentic Benchmark for LLM-Crafted Heuristics in Combinatorial Optimization
quasinewton.jl
A collection of Newton-type optimization algorithms implemented in Julia.
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.
invariants_py
Calculate invariant trajectory representations from trajectory data and generate new trajectories from the invariants.
https://github.com/darioizzo/pagmo2
A C++ / Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
contactimplicitmpc.jl
Fast contact-implicit model predictive control for robotic systems that make and break contact with their environments.
https://github.com/amr-yasser226/ambulance-management-system-dsa
A centralized system for managing ambulance services across multiple hospitals, utilizing data structures to optimize ambulance allocation and improve emergency response times.
