Refine high-quality datasets and visual AI models

📈 Adaptive: parallel active learning of mathematical functions

Bayesian Optimization and Design of Experiments

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

Emulate simulations easily

Experimental design and (multi-objective) bayesian optimization.

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

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.

Software platform for Thermodynamic Sampling Units - probabilistic computing emulator

Molecular active learning with JAX

Code library for the RPAL framework from 'The Impact of Active Learning on Availability Data Poisoning for Android Malware Classifiers'.

Detection of spawning fish in the streams of Yuzhno-Sakhalinsk

Algorithmic process optimization and AI experiment design

Active Learning and GNN-based models for illicit Bitcoin transaction detection using the Elliptic dataset.