📈 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

Open-source constructor of surrogates and metamodels

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

Source code for numerical experiments in the paper "Active learning for parametric differential systems with Bayesian operator inference" by McQuarrie, Guo, and Chaudhuri.

Object-Orientated Derivative-Free Optimisation

Python adaptive sampling strategies implementation for molecular dynamics simulations of ion channels. This code was used during my PhD period.

Fast and accurate signal classifier for nanopore sequencing

Content-aware adaptive sampling for Stable Diffusion - dynamically optimizing inference steps based on prompt complexity for 30-50% speedup with <5% quality loss.

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".

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

Fraud Detection System using Graph Neural Networks (AD-RL-GNN) to identify complex fraud patterns. Features: 22.7% G-Means improvement over baseline, <28ms real-time latency, Adaptive Majority Downsampling (MCD) for 28:1 class imbalance, and a scalable MLOps pipeline (FastAPI, Redis, Docker).

Adaptive sampling BED helper tool for Oxford Nanopore sequencing. built on pybedtools (0.12.0) with chrom sizes from bioframe