adaptive
Function Optimizer
A Python library that streamlines the process of optimizing mathematical functions by intelligently selecting key points in parameter space for efficient parallel evaluations.
Adaptive: parallel active learning of mathematical functions
1k stars
17 watching
59 forks
Language: Python
last commit: 3 months ago
Linked from 1 awesome list
active-learningadaptiveadaptive-learningadaptive-samplinglive-plotsmachine-learningparallelparallel-computingpython
Related projects:
Repository | Description | Stars |
---|---|---|
| A comprehensive framework for solving optimization problems without gradient calculations. | 575 |
| A framework for optimizing complex functions using a multi-fidelity approach. | 5 |
| A Python library for multiobjective optimization algorithms and analysis tools. | 579 |
| A reinforcement learning-based framework for optimizing hyperparameters in distributed machine learning environments. | 15 |
| A tool for training federated learning models with adaptive gradient balancing to handle class imbalance in multi-client scenarios. | 14 |
| An inverse design library for optimizing system performance and efficiency | 17 |
| A Python library for optimizing energy assets using mixed-integer linear programming to balance electricity and heat demand. | 90 |
| A tool for optimizing and automating reinforcement learning pipelines in Python | 10 |
| A Python package for gradient-based function optimization in machine learning | 181 |
| An optimization algorithm implementation in Matlab. | 83 |
| An optimization framework designed to address heterogeneity in federated learning across distributed networks | 655 |
| An implementation of a federated averaging algorithm with an extrapolation approach to speed up distributed machine learning training on client-held data. | 9 |
| An optimizer that automatically tunes momentum and learning rate using local quadratic approximation. | 287 |
| An optimization library for non-differentiable functions, allowing users to define and solve black-box optimization problems | 188 |
| Automates search for optimal parameters in machine learning algorithms. | 1,594 |