An automated practice system for mastering complex skills
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Mar 25, 2026 - Rust
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hierarchical-learning
Here are 15 public repositories matching this topic...
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…
natural-language-processing deep-neural-networks deep-learning neural-network deep-reinforcement-learning speech-recognition neural-networks deep-learning-algorithms artificial-neural-networks deep-learning-tutorial audio-recognition anns hierarchical-learning biological-brains social-network-filtering board-game-programs
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Jan 27, 2021 - Jupyter Notebook
[IJCV] PointSegBase: a codebase for point cloud segmentation research. Related works: Deep Hierarchical Learning for 3D Semantic Segmentation
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Jun 26, 2025 - Python
This is a repository for paper "Towards Data-driven Design of Asymmetric Hydrogenation of Olefins: Database and Hierarchical Learning".
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Sep 10, 2025 - Python
This is the repository for the paper Hierarchical Quality-Diversity for Online Damage Recovery which was accepted at GECCO 2022.
machine-learning robotics paper quality-diversity hierarchical-learning hierarchical-quality-diversity
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Nov 22, 2022 - C++
Companion code repository to Marcou et al. 2024, Creating a computer assisted ICD coding system: Performance metric choice and use of the ICD hierarchy
recommender-system mimic-iii icd-9 medication imbalanced-learning multitask-learning hierarchical-learning omop-cdm
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May 24, 2024 - Jupyter Notebook
Multi-timescale affective agents with theatrical control - 97K parameter architecture exploring functional correlates of consciousness
python machine-learning affective-computing multi-agent-systems mlx temporal-modeling hierarchical-learning apple-silicon predictive-processing consciousness-research surprise-driven-behavior theatrical-control
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Mar 19, 2026 - Python
Modularity-based graph population integration
deep-learning pytorch data-integration modularity data-fusion graph-neural-networks multigraph-integration multigraph-fusion hierarchical-learning connectional-brain-template graph-integration
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Sep 16, 2022 - Python
Reverse Curriculum Vicinity Learning: Reinforcement Hierarchical algorithm for solving complex RL tasks.
reinforcement-learning deep-learning neural-network pytorch gym actor-critic ddqn curriculum-learning hierarchical-learning
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Dec 13, 2022 - Python
Question answering system for SQuAD 2.0 combining hierarchical span prediction, supervised contrastive learning, and adversarial training with synergistic component integration.
python machine-learning deep-learning pytorch question-answering contrastive-learning hierarchical-learning
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Feb 21, 2026 - Python
Multi-scale molecular toxicity prediction using hierarchical graph neural networks with adaptive curriculum learning that prioritizes structurally complex molecules during training. Introduces a novel dual-granularity message passing mechanism (atom-level and functional-group-level) combined with difficulty-aware sample weighting based on molecular
python machine-learning deep-learning pytorch drug-discovery curriculum-learning hierarchical-learning molecular-ml
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Feb 21, 2026 - Python
Introduction to part-of-speech tagging and shallow parsing with keras
python nlp deep-learning keras embeddings chunking pos-tagging keras-tensorflow multi-task-learning shallow-parsing hierarchical-learning
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Jul 9, 2022 - Jupyter Notebook
A novel framework for chest X-ray diagnosis that explicitly models aleatoric uncertainty through credal set theory. Combines hierarchical multi-label classification with dynamic label smoothing calibrated by radiologist uncertainty annotations, implementing evidential deep learning to learn prediction sets instead of point estimates.
python machine-learning deep-learning pytorch uncertainty-quantification medical-ai hierarchical-learning
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Feb 21, 2026 - Python
A PyTorch implementation combining temporal attention mechanisms with hierarchical forecast reconciliation for multi-level retail sales prediction. The key innovation is learnable reconciliation matrices that replace traditional bottom-up/top-down aggregation with differentiable neural projections, ensuring probabilistic coherence across 4 hierarch
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Feb 21, 2026 - Python
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