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spatial-ai

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1lmao / DeepSTPP-with-MambaSSM

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Spatial analysis using Deep Spatio Temporal Point Process (DeepSTPP) updated with state-of-the-art mamba state space model, using spatiotemporal Hawkes Process, spatiotemporal self-correcting process, NJ COVID-19 and Japanese earthquake data.

recurrent-neural-networks transformer spatial-analysis spatiotemporal mamba spatio-temporal encoder-decoder hawkes-process spatial-ai structured-state-space-models structured-state-space-sequence-model neural-temporal-point-processes spatiotemporal-hawkes-process spatiotemporal-self-correcting-process recurrent-marked-temporal-point-process neural-spatiotemporal-point-process self-correcting-point-process
  • Updated Jun 8, 2025
  • Python

YingWana / Restaurant-Recommender

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A Risk-Aware Hybrid Recommender System trained on 2.4M Yelp reviews. Models user risk aversion using Distributional Sentiment (Mean, Variance, Skewness) to optimize ranking safety (NDCG@10=0.97). Features Two-Phase SBERT Semantic Search and MMR Diversity.

nlp machine-learning deep-learning sentiment-analysis tensorflow xgboost learning-to-rank recommender-system yelp-dataset capstone-project content-based-filtering spatial-ai sentence-transformers sbert risk-aware-ml mmr-diversity
  • Updated Dec 12, 2025
  • Python

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