An automated practice system for mastering complex skills

Deep learning (also known as deep structured learning or hierarchical learning) is part of a broader family of machine learning methods based on artificial neural networks. Learning can be supervised, semi-supervised or unsupervised. Deep learning architectures such as deep neural networks, deep belief networks, recurrent neural networks and con…

This is a repository for paper "Towards Data-driven Design of Asymmetric Hydrogenation of Olefins: Database and Hierarchical Learning".

Hierarchical Actor-Critic in Pytorch

This is the repository for the paper Hierarchical Quality-Diversity for Online Damage Recovery which was accepted at GECCO 2022.

Modularity-based graph population integration

Official implementation of paper "Deep Hierarchical Learning for 3D Segmentation"

Reverse Curriculum Vicinity Learning: Reinforcement Hierarchical algorithm for solving complex RL tasks.

Companion code repository to Marcou et al. 2024, Creating a computer assisted ICD coding system: Performance metric choice and use of the ICD hierarchy

Introduction to part-of-speech tagging and shallow parsing with keras