📈 Adaptive: parallel active learning of mathematical functions
CLI tool for flexible and fast adaptive sampling on ONT sequencers
A Python library for Robotic Information Gathering
DAS: A deep adaptive sampling method for solving high-dimensional partial differential equations
Gradient-based adaptive sampling algorithms for self-supervising PINNs
Adaptive Informative Sampling with Environment Partitioning for Heterogeneous Multi-Robot Systems (IROS 2020)
Implementation of the SIGGRAPH Asia 2025 conference paper "Statistical Error Reduction for Monte Carlo Rendering" [Sakai et al. 2025] based on pbrt-v3
Open-source constructor of surrogates and metamodels
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
Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation, SIGIR 2021
Streamlined Nextflow wrapper for the Sequenoscope toolkit. Simplifies complex metagenomic workflows with automated batch processing, allowing efficient comparative analysis from raw reads to visualization.
Energy-aware power management and battery-life estimation library for Arduino IoT projects.Arduino ESP32 AVR SAMD IoT battery-life power management BLE GPS LoRa energy harvesting
Instructions and scripts for fast and accurate gas-surface dynamics
Source code for numerical experiments in the paper "Active learning for parametric differential systems with Bayesian operator inference" by McQuarrie, Guo, and Chaudhuri.
Python simulation project for applied mathematics course at Ecole polytechnique
Object-Orientated Derivative-Free Optimisation
Adaptive sampling methods for optimising simulations
Efficient Foil Shape Optimization Using Artificial Neural Network-Based Surrogate Model with Adaptive Sampling Strategy
Implementation of the CUDA denoiser for the SIGGRAPH Asia 2025 conference paper "Statistical Error Reduction for Monte Carlo Rendering" [Sakai et al. 2025] based on OpenCV
Add a description, image, and links to the adaptive-sampling topic page so that developers can more easily learn about it.
To associate your repository with the adaptive-sampling topic, visit your repo's landing page and select "manage topics."