kbhujbal/NASA_exoplanet_detection_using_CNN_transfromer
Hybrid CNN-Transformer model for automated exoplanet transit detection on NASA Kepler light curves. Features dual scale CNN branches, Transformer based sequence modelling, Grad CAM + SHAP + attention explainability, and Monte Carlo Dropout uncertainty quantification. 5 fold cross validated with baseline comparisons.
GitHub repository with 22 stars and 0 forks.
Language: Python
Topics: astrophysics, convolutional-neural-network, deep-learning, exoplanet-detection, explainable-ai, grad-cam, kepler, machine-learning, monte-carlo-dropout, nasa