yooucef/Promethium
🌍 Transform seismic data recovery with Promethium, an AI-driven framework for advanced reconstruction and geophysical data enhancement.
What's novel
🌍 Transform seismic data recovery with Promethium, an AI-driven framework for advanced reconstruction and geophysical data enhancement.
Code Analysis
21 files read · 6 roundsA seismic data reconstruction framework combining classical algorithms (ISTA compressive sensing, SoftImpute matrix completion) with basic deep learning models (U-Net, autoencoder) for denoising and missing trace recovery, wrapped in a FastAPI backend, Angular frontend, and CLI.
Strengths
Clean module organization with proper abstract base classes, model registry pattern, and comprehensive evaluation metrics (SNR, PSNR, SSIM, frequency correlation, phase coherence). Good use of type hints, docstrings, and separation of concerns across signal processing, ML, I/O, and pipeline layers.
Weaknesses
Tests are trivial (mostly import checks), CLI references non-existent functions making it non-functional, inference engine doesn't actually save results, duplicate function definitions in inference.py, and no pretrained model weights exist. The README overstates the project as 'state-of-the-art' when it implements textbook algorithms with basic configurations.
Score Breakdown
Signal breakdown
Innovation
Craft
Traction
Scope
Evidence
Commits
57
Contributors
2
Files
455
Active weeks
4
Repository
Language
Python
Stars
1
Forks
0
License
NOASSERTION