MFTREE_DET
Function optimizer
A framework for optimizing complex functions using a multi-fidelity approach.
Multi-Fidelity Deterministic Optimistic Optimization for Black-Box Functions
5 stars
2 watching
0 forks
Language: Python
last commit: over 6 years ago
Linked from 1 awesome list
benedekrozemberczki/awesome-monte-carlo-tree-search-papersRelated projects:
| Repository | Description | Stars |
|---|---|---|
 python-adaptive/adaptive | A Python library that streamlines the process of optimizing mathematical functions by intelligently selecting key points in parameter space for efficient parallel evaluations. | 1,168 |
 100/solid | A comprehensive framework for solving optimization problems without gradient calculations. | 575 |
 litian96/fedprox | An optimization framework designed to address heterogeneity in federated learning across distributed networks | 655 |
 andreaferretti/memo | A package that provides functions to memoize (cache) and optimize Nim functions. | 78 |
 fpicetti/occamypy | A library for solving large-scale optimization problems with flexible and scalable vector and operator definitions | 55 |
 khezen/evoli | An implementation of a genetic algorithm and particle swarm optimization in Go to find the maximum value of a 3D function. | 33 |
 automl/robo | A Bayesian optimization framework designed to optimize complex functions with robustness and flexibility | 484 |
 jiangoforit/yellowfin_pytorch | An optimizer that automatically tunes momentum and learning rate using local quadratic approximation. | 287 |
 convexfi/riskparity.py | A tool for designing and optimizing risk parity portfolios using optimization algorithms. | 291 |
 mysteryresearcher/dasha | A framework for distributed optimization with communication compression and optimal oracle complexity. | 0 |
 jankrepl/deepdow | A framework that enables portfolio optimization using deep learning. | 932 |
 deependersingla/deep_portfolio | An algorithm that optimizes portfolio allocation using Reinforcement Learning and Supervised learning. | 168 |
 coin-or/rbfopt | An optimization library for non-differentiable functions, allowing users to define and solve black-box optimization problems | 188 |
 manageiq/optimist | A commandline option parser for Ruby that simplifies the process of defining and managing options | 255 |
 divyansh03/fedexp | An implementation of a federated averaging algorithm with an extrapolation approach to speed up distributed machine learning training on client-held data. | 9 |