Refine high-quality datasets and visual AI models

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

Bayesian Optimization and Design of Experiments

Emulate simulations easily

A comprehensive toolkit to build datasets and train YOLO models from ros2bag files.

A General Toolkit for Advanced Online Learning, Online Active Learning, Online Semi-supervised Learning Approaches

A simple and efficient python application to make your learning experience fun. Flashcards are active recall methods guaranteed to improve learning.

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

Advanced Active Learning platform for engineering simulations. Reduces simulation costs by through intelligent surrogate modeling and physics-informed sampling.

Explanation system for semi-supervised multi-objective optimization

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

📈 Adaptive: parallel active learning of mathematical functions

Active learning for systematic reviews

Mcity Data Engine

RL-FRB/US - The novel method which enhance the FRB/US model by Reinforcement Learning and Active Relocation algorithms

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

Active Learning for Text Classification in Python

Deep Potential Evolution Accelerator

Toolkit to express and execute ML learn workflows on HPC

Python library for adaptive experiment design with state-of-art ML tools