uno
A next-gen SQP & barrier solver for nonlinearly constrained optimization
RadonKA
A simple yet sufficiently fast (attenuated) Radon and backproject implementation using KernelAbstractions.jl. Runs on CPU, CUDA, ...
osemosys_pulp
OSeMOSYS_PuLP: A Stochastic Modelling Framework for Long-Term Energy Systems Modeling
tsam
Time series aggregation module (tsam). Determines typical operation periods or dereases the temporal resolution. Accelerates model or experiment runs.
pennylane
PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Built by researchers, for research.
paper_bergonti_2022_tro_kinematics-control-morphingcovers
Supplementary Material "Modeling and Control of Morphing Covers for the Adaptive Morphology of Humanoid Robots" published in IEEE Transactions on Robotics 2022
https://github.com/SciML/Optimization.jl
Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.
rockyml
⛰️ RockyML - A High-Performance Scientific Computing Framework for Non-smooth Machine Learning Problems
louvain-communities-openmp-dynamic
Design of OpenMP-based Parallel Dynamic Louvain algorithm for community detection.
dmipy
The open source toolbox for reproducible diffusion MRI-based microstructure estimation
FlexPlan.jl
Open-source Julia tool for transmission and distribution expansion planning considering storage and demand flexibility
pestpp
tools for scalable and non-intrusive parameter estimation, uncertainty analysis and sensitivity analysis
cppnumericalsolvers
a lightweight header-only C++17 library of numerical optimization methods for (un-)constrained nonlinear functions and expression templates
QuadraticModels
Data structures for linear and quadratic optimization problems based on NLPModels.jl
pyscipopt-ml
Python interface to automatically formulate Machine Learning models into Mixed-Integer Programs
optimum
🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools
ev-ecosim
EV-EcoSim: A grid-aware co-simulation platform for the design and optimization of EV Charging Infrastructure. Link to publication: https://doi.org/10.1109/TSG.2023.3339374
nadir
Nadir: Cutting-edge PyTorch optimizers for simplicity & composability! 🔥🚀💻
k-means-constrained
K-Means clustering - constrained with minimum and maximum cluster size. Documentation: https://joshlk.github.io/k-means-constrained
Piccolo
A Julia package for solving quantum optimal control problems using direct trajectory optimization.
PowerSimulations.jl
Julia for optimization simulation and modeling of PowerSystems. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.
pommesdispatch
A bottom-up fundamental power market model for the German electricity sector
galibrate
Parameter estimation and model calibration using Genetic Algorithm optimization in Python.
gridpath
A versatile simulation and optimization platform for power-system planning and operations.
gurobi-logtools
Extract and visualize information from Gurobi log files
jreferral
An open-source tool that recommends the most energy efficient JVM configuration for java software
prediction-of-pcos-using-optimized-ml-classifiers
Official Code Files For My Research Paper Presented at 3rd International Conference on Artificial Intelligence: Advances and Applications (ICAIAA 2022). Paper Published in Springer Book Series, "Algorithms for Intelligent Systems (AIS)".
snl-quest
An open source, Python-based software platform for energy storage simulation and analysis developed by Sandia National Laboratories.
sbml2julia
A tool to for optimizing parameters of ordinary differential equation (ODE) models. SBML2Julia translates a model from SBML/PEtab format into Julia for Mathematical Programming (JuMP), performs the optimization task and returns the results.
https://github.com/cog-imperial/omlt
Represent trained machine learning models as Pyomo optimization formulations
https://github.com/cvxgrp/cvxportfolio
Portfolio optimization and back-testing.
https://github.com/forieux/qmm
Python Quadratic Majorization-Minimization (MM) optimization algorithms of half-quadratic criteria. Inverses problems, image restoration, denoising, ...
pyGPGO
pyGPGO: Bayesian Optimization for Python - Published in JOSS (2017)
BayesianTools
General-Purpose MCMC and SMC Samplers and Tools for Bayesian Statistics
perprof-py
A python module for performance profiling (as described by Dolan and Moré) with tikz outputing and matplotlib.
AnyMOD.jl
Julia framework for energy system models with a focus on multi-period capacity expansion
xflrpy
xflrpy is a python enabled version of xflr5 for scripting and design optimization.
@stdlib/ndarray-base-unary-loop-interchange-order
Reorder ndarray dimensions and associated strides for loop interchange.
psoanalysis
Numerical analysis of Particle Swarm Optimization (PSO) and numerical experiments demonstrating the practicability of the method
https://github.com/kul-optec/hyhound
Hyperbolic Householder transformations for Up- and Downdating Cholesky factorizations.
https://github.com/mbk-dev/okama
Investment portfolio and stocks analyzing tools for Python with free historical data
@stdlib/ndarray-base-nullary-loop-interchange-order
Reorder ndarray dimensions and associated strides for loop interchange.
https://github.com/ami-iit/adam
adam implements a collection of algorithms for calculating rigid-body dynamics in Jax, CasADi, PyTorch, and Numpy.
ClimaAtmos.jl
ClimaAtmos.jl is an atmosphere model that is designed to leverage data assimilation and machine learning tools for modeling and calibrating subgrid-scale processes.
pynets
A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning
@stdlib/ndarray-base-binary-loop-interchange-order
Reorder ndarray dimensions and associated strides for loop interchange.
bilp-q
This repository contains the code to reproduce the results presented in the paper BILP-Q: Quantum Coalition Structure Generation
evolutionary-diffusion
Applying Evolutionary Computing to Embeddings of Diffusion Models
https://github.com/google-research/jestimator
Amos optimizer with JEstimator lib.
https://github.com/aspuru-guzik-group/olympus
Olympus: a benchmarking framework for noisy optimization and experiment planning
mip
Python-MIP: collection of Python tools for the modeling and solution of Mixed-Integer Linear programs
netflowpy
A python tool to optimize chemical concentration trajectories in network-based chemical systems
pommesinvest
A bottom-up fundamental investment model for the German electricity sector
iesopt.jl
IESopt (Integrated Energy System Optimization) is a modeling and optimization framework for integrated energy systems.
emhass
emhass: Energy Management for Home Assistant, is a Python module designed to optimize your home energy interfacing with Home Assistant.
swolfpy
SwolfPy is a free, multi-platform, Python-based, open-source, SWM LCA optimization framework with built-in parametric and Monte Carlo sensitivity and uncertainty analysis capabilities.
NMOF
Functions, examples and data from the first and the second edition of "Numerical Methods and Optimization in Finance" by M. Gilli, D. Maringer and E. Schumann (2019, ISBN:978-0128150658). This repository mirrors https://gitlab.com/NMOF/NMOF .
bimp
Code to reproduce the experiments of ICLR2023-paper: How I Learned to Stop Worrying and Love Retraining
https://github.com/altaris/noisy-moo
A wrapper-based framework for pymoo problem modification.