adaptive-sampling
There are 19 repositories under adaptive-sampling topic.
python-adaptive/adaptive
:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions
LooseLab/readfish
CLI tool for flexible and fast adaptive sampling on ONT sequencers
Weizhe-Chen/PyPolo
A Python library for Robotic Information Gathering
MJfadeaway/DAS
DAS: A deep adaptive sampling method for solving high-dimensional partial differential equations
ShashankSubramanian/adaptive-selfsupervision-pinns
Gradient-based adaptive sampling algorithms for self-supervising PINNs
yangggzhang/Heterogeneous-Multi-Robot-Adaptive-Sampling
Adaptive Informative Sampling with Environment Partitioning for Heterogeneous Multi-Robot Systems (IROS 2020)
act-elegancy/consumet
Open-source constructor of surrogates and metamodels
newlei/Set2setRank
Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation, SIGIR 2021
JMcardenas/Adaptive-sampling-and-domain-learning
This is a repository associated with the paper "An adaptive sampling and domain learning strategy for multivariate function approximation on unknown domains" by Ben Adcock, Juan M. Cardenas, and Nick Dexter available at https://arxiv.org/abs/2202.00144
wgst/ml-gas-surface
Instructions and scripts for fast and accurate gas-surface dynamics
atdurkin/oodx
Object-Orientated Derivative-Free Optimisation
choderalab/fortuna
Adaptive sampling methods for optimising simulations
chuankaizhao/SAXS-guidedAdaptiveSampling
Python implementation of Markov state model-based adaptive sampling guided by SAXS and hybrid information.
NaymaHassanEmu/Surrogate-model-optimization-with-Adaptive-sampling
Efficient Foil Shape Optimization Using Artificial Neural Network-Based Surrogate Model with Adaptive Sampling Strategy
stdereka/MAP361P
Python simulation project for applied mathematics course at Ecole polytechnique
JMcardenas/CAS4DL
This is a repository associated with the paper "CAS4DL: Christoffel Adaptive Sampling for function approximation via Deep Learning" by Ben Adcock, Juan M. Cardenas, and Nick Dexter submitted at Sampling Theory and Applications (SampTa), also available at https://arxiv.org/abs/2208.12190
JMcardenas/Optimal-Sampling-for-General-Domains
This is a repository associated with the paper "Near-optimal sampling strategies for multivariate function on general domains" by Ben Adcock and Juan M. Cardenas available at https://epubs.siam.org/doi/10.1137/19M1279459 and https://arxiv.org/abs/1908.01249
TU-Berlin-DIMA/ARTC
Implementation and evaluation of the Adaptive Read-time tolerance controller ARTC, used in the evaluation of the paper: "Automatic Tuning of Read-Time Tolerances for Optimized On-Demand Data-Streaming from Sensor Nodes".