life2vec
Life2vec explores the predictive nature of life-event sequences, applying advanced algorithms for modeling human behaviors. The project features essential implementations and scripts for data management, model training, and statistical analysis. Various components like class distance-weighted cross-entropy loss are available in separate repositories. Utilizing Hydra for configuration, life2vec ensures methodical experiment planning. The project's resources, compliant with Statistics Denmark's Research Scheme, support prediction tasks from mortality to emigration, optimized for PyTorch and PyTorch Lightning environments.
