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sgbaird / packages

Package Name Access Summary Updated
dist-matrix public Predict materials properties using only the composition information. 2025-03-25
composition_based_feature_vector public Tool for quickly creating a composition-based feature vector. 2025-03-25
shap-hypetune public A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models. 2025-03-25
uncertainty_toolbox public A python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization. 2025-03-25
amdnet public Structure motif-centric learning framework for inorganic crystalline systems. 2025-03-25
crabnet public Predict materials properties using only the composition information. 2025-03-25
chem_wasserstein public A high performance mapping class to construct ElM2D plots from large datasets of inorganic compositions. 2025-03-25
dist_matrix public Predict materials properties using only the composition information. 2025-03-25
mat_discover public Data-driven materials discovery based on composition. 2025-03-25
pqdm public PQDM is a TQDM and concurrent futures wrapper to allow enjoyable paralellization of progress bars. 2025-03-25
elmd public An implementation of the Element movers distance for chemical similarity of ionic compositions 2025-03-25
bounded-pool-executor public Bounded Process&Thread Pool Executor 2025-03-25

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