Refine high-quality datasets and visual AI models

Codes and data for active learning for next-generation battery electrolyte optimization

📈 Adaptive: parallel active learning of mathematical functions

Bayesian Optimization and Design of Experiments

INCEpTION provides a semantic annotation platform offering intelligent annotation assistance and knowledge management.

scikit-activeml: A Comprehensive and User-friendly Active Learning Library

List of molecules (small molecules, RNA, peptide, protein, enzymes, antibody, and PPIs) conformations and molecular dynamics (force fields) using generative artificial intelligence and deep learning

Emulate simulations easily

Experimental design and (multi-objective) bayesian optimization.

ALINE: Joint Amortization for Bayesian Inference and Active Data Acquisition (Huang et al., NeurIPS 2025)

A modular active learning evaluation framework

The deep potential generator to generate a deep-learning based model of interatomic potential energy and force field

Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets

Active learning for systematic reviews

MONAI Label is an intelligent open source image labeling and learning tool.

Bayesian active learning library for research and industrial usecases.

ML scientific job orchestration platform: FastAPI API, Celery Worker, PostgreSQL DB, RabbitMQ broker, and React frontend for spectral analysis, data preprocessing, and active‐learning workflows 🪐

Variationally Reweighted Least Squares

Active Learning with Constrained Virtual Support Vector Machines for Classification of Earth Observation Data

Multi-module ML project including automated supervised learning UI, active learning for text classification, model explainability tools, recommender-system preference learning, and reinforcement learning with human feedback.