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class-weighting

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samson-raj-ubbani / Banking-Fraud-Detection-Transaction-Analytics

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A fraud detection classifier and investigation dashboard built on banking transaction data, combining SQL, Python, and interactive analytics to support faster fraud investigations and risk-based decisions.

python sql dashboard random-forest sqlite ml python3 banking baseline logistic-regression banking-applications fraud-detection roc-auc streamlit kpi-dashboard class-weighting pr-auc
  • Updated Aug 23, 2026
  • Python

tk-yasuno / damage_encoder_dgm

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This project implements a Darwin-Gödel Machine (DGM) self-improvement framework to optimize class weights for imbalanced bridge damage classification. The system uses LLM-based coding agents to iteratively propose weight configurations, evaluated through LoRA fine-tuning on a Japanese BERT-large model.

hyperparameter-optimization lora imbalanced-learning structural-health-monitoring experiment-automation bridge-maintenance loss-function-optimization class-weighting coding-agent darwin-godel-machine self-improvement-ai bert-large-japanese-v2 automated-code-optimization damage-cause-encoder
  • Updated Aug 12, 2026
  • Python

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