occamypy
Optimization framework
A library for solving large-scale optimization problems with flexible and scalable vector and operator definitions
Python library for solving large-scale inverse problems
54 stars
4 watching
12 forks
Language: Jupyter Notebook
last commit: over 1 year ago
Linked from 1 awesome list
cluster-computingmultiscaleoptimizationoptimization-algorithm-libraryoptimization-algorithms
Related projects:
Repository | Description | Stars |
---|---|---|
ccsi-toolset/foqus | A comprehensive framework for optimization and uncertainty quantification with support for surrogates and a graphical user interface. | 46 |
perone/pyevolve | A Python-based optimization framework providing tools and algorithms to evolve solutions from problem definitions. | 315 |
100/solid | A comprehensive framework for solving optimization problems without gradient calculations. | 576 |
google/ceviche-challenges | A software suite for benchmarking photonic inverse design optimization algorithms | 94 |
mysteryresearcher/dasha | A framework for distributed optimization with communication compression and optimal oracle complexity. | 0 |
gugarosa/opytimizer | An optimization library based on nature-inspired meta-heuristic algorithms. | 606 |
bluebrain/bluepyopt | A flexible framework for optimizing model parameters in computational neuroscience and related fields. | 200 |
jonfanlab/glonet | A software framework for training neural networks to optimize dielectric metasurfaces using physics-driven generative models and global optimization algorithms. | 101 |
jungtaekkim/bayeso | A framework for optimizing hyperparameters in machine learning models using Bayesian optimization | 93 |
liboyue/beer | A collection of numerical experiments and code for demonstrating the performance of decentralized nonconvex optimization methods | 8 |
project-pareto/project-pareto | An optimization framework for managing produced water and its beneficial reuse | 18 |
litian96/fedprox | An optimization framework designed to address heterogeneity in federated learning across distributed networks | 643 |
automl/robo | A Bayesian optimization framework designed to optimize complex functions with robustness and flexibility | 483 |
skfolio/skfolio | A Python library for building and optimizing portfolios using machine learning algorithms | 1,247 |
auralius/yadpf | An implementation of dynamic programming algorithms and value iteration methods for optimization problems in various fields | 6 |