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sgbaird / packages

Package Name Access Summary Updated
composition_based_feature_vector public Tool for quickly creating a composition-based feature vector. 2023-06-27
dist-matrix public Predict materials properties using only the composition information. 2023-06-19
shap-hypetune public A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models. 2023-06-18
uncertainty_toolbox public A python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization. 2023-06-18
amdnet public Structure motif-centric learning framework for inorganic crystalline systems. 2023-06-18
crabnet public Predict materials properties using only the composition information. 2023-06-16
chem_wasserstein public A high performance mapping class to construct ElM2D plots from large datasets of inorganic compositions. 2023-06-16
dist_matrix public Predict materials properties using only the composition information. 2023-06-16
mat_discover public Data-driven materials discovery based on composition. 2023-06-16
pqdm public PQDM is a TQDM and concurrent futures wrapper to allow enjoyable paralellization of progress bars. 2023-06-16
elmd public An implementation of the Element movers distance for chemical similarity of ionic compositions 2023-06-16
bounded-pool-executor public Bounded Process&Thread Pool Executor 2023-06-16

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