Active learning tool for designing experiments
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Updated
Aug 31, 2024 - Python
Active learning tool for designing experiments
Advanced Active Learning platform for engineering simulations. Reduces simulation costs by through intelligent surrogate modeling and physics-informed sampling.
Feasible-Infeasible Evolutionary Create & Eliminate Algorithm for Expectation Maximization.
Project for the Applied Machine Learning (EI70360) class at TUM Summer Semester 2023.
Active learning; Query by committee; Ensemble averaging; Committee machines; Neural Network Potentials
NSE and random sampling strategies comparison for active learning
Code pertaining to the paper: "Reducing Bias in Online Datasets"
Active learning pipeline to construct balanced data sets.
HTML‐to‐Anki Enhanced Human Explanation & Reasoning Tool (HEART). A Python CLI that leverages the OpenAI API to transform full UWorld vignettes into AI-enhanced Anki flashcards.
reproducibility results for IAL2023 workshop
Implementation of the L* (L Star) based Assume Guarantee Reasoning framework - dynamic DFA input as specification
Interactive dashboard for examining active learning experiments and matrix completion models
The aim of this project is to create a machine learning model based on Active Learning to identify and filter out spam in YouTube comments.
🧐 Calculating exact and approximate confidence and information metrics for deep learning on general purpose and chemistry tasks.
Code repository for the UAI 2020 paper "Active learning of conditional mean embeddings via Bayesian optimisation" by S. R. Chowdhury, R. Oliveira and F. Ramos.
Implementation of active learning sampler
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