📈 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)

Open-source constructor of surrogates and metamodels

Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation, SIGIR 2021

Instructions and scripts for fast and accurate gas-surface dynamics

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

Python implementation of Markov state model-based adaptive sampling guided by SAXS and hybrid information.

Implementation of the SIGGRAPH Asia 2025 conference paper "Statistical Error Reduction for Monte Carlo Rendering" [Sakai et al. 2025] based on pbrt-v3

Object-Orientated Derivative-Free Optimisation

Python simulation project for applied mathematics course at Ecole polytechnique

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

Python adaptive sampling strategies implementation for molecular dynamics simulations of ion channels.

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