Adapt
Sampling Optimizer
A package that adapts sampling methods to optimize parameter space exploration based on observed data information content.
Algorithms for adaptive refinement of measurements
8 stars
8 watching
2 forks
Language: Jupyter Notebook
last commit: almost 2 years ago
Linked from 1 awesome list
qosf/awesome-quantum-softwareRelated projects:
| Repository | Description | Stars |
|---|---|---|
 mapillary/inplace_abn | An optimization technique to reduce memory usage in deep neural networks during training | 1,323 |
 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 |
 q-optimize/c3 | Toolset for optimizing and calibrating physical systems using machine learning and quantum computing | 69 |
 max22-/uxnbruteforce | An optimized search tool for finding efficient code snippets in the UXN programming language | 8 |
 mengomarlene/opti4abq | An optimisation method that minimises the difference between FEA output and data in Abaqus models | 17 |
| bbn-q/qlab | A software framework for controlling and measuring superconducting qubits in a quantum computing system. | 37 |
| bbn-q/quince | Software for designing qubit experiments in a graphical interface | 7 |
 brml/climin | A Python package for gradient-based function optimization in machine learning | 181 |
 jordanmeyer/nyt-bar-optimizer | An R-based application that optimizes a home bar's inventory of liquor and ingredients to maximize the number of cocktail recipes that can be made with available items. | 40 |
 xternalz/sdpoint | A deep learning method for optimizing convolutional neural networks by reducing computational cost while improving regularization and inference efficiency. | 18 |
 claesenm/optunity | A collection of algorithms for hyperparameter optimization in machine learning models | 417 |
 braverock/portfolioanalytics | A PostScript-based software suite for analyzing and optimizing investment portfolios using various optimization techniques and robust covariance matrix estimators. | 80 |
 syne-tune/syne-tune | A tool for large-scale and asynchronous hyperparameter optimization in machine learning | 393 |
 mazhar-ansari-ardeh/benchmarkfcns | Provides benchmarking functions for mathematical optimization algorithms | 67 |