Reference material for "Physics-Informed Gaussian Process Inference of Liquid Structure from Scattering Data" by Sullivan, Shanks, Cervenka and Hoepfner (2025)
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Jul 14, 2025 - Jupyter Notebook
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uncertainity-quantification
Here are 3 public repositories matching this topic...
Variational Inference for Cosmic Ray Segmentation in Astronomical Images
convolutional-neural-networks variational-inference astronomical-images cosmic-rays bayesian-neural-networks uncertainity-quantification
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Nov 29, 2025 - Jupyter Notebook
End-to-end NLP text classification pipeline on AG News, a custom LLaMA-inspired transformer with RoPE/RMSNorm/SwiGLU, Optuna + MLflow hyperparameter tuning, uncertainty-aware evaluation, bundle promotion, FastAPI serving, and Streamlit dashboard. Deployable via Docker & HF Spaces.
python nlp docker machine-learning deep-learning pytorch transformer llama hyperparameter-tuning test-classification mlops mlflow fastapi optuna huggingface streamlit uncertainity-quantification ag-news
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May 6, 2026 - Python
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