sgbaird
by sgbaird
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Packages
| Name | Latest Version | Summary | Updated | License |
|---|
| amdnet | 1.0.10 | Structure motif-centric learning framework for inorganic crystalline systems. | Mar 25, 2025 | BSD-3-Clause |
| bounded-pool-executor | 0.0.3 | Bounded Process&Thread Pool Executor | Mar 25, 2025 | MIT |
| chem_wasserstein | 1.0.11 | A high performance mapping class to construct ElM2D plots from large datasets of inorganic compositions. | Mar 25, 2025 | GPL-3.0 |
| composition_based_feature_vector | 1.0.6 | Tool for quickly creating a composition-based feature vector. | Mar 25, 2025 | MIT |
| crabnet | 2.0.7 | Predict materials properties using only the composition information. | Mar 25, 2025 | MIT |
| dist-matrix | 1.0.4 | Predict materials properties using only the composition information. | Mar 25, 2025 | MIT |
| dist_matrix | 1.0.2 | Predict materials properties using only the composition information. | Mar 25, 2025 | MIT |
| elmd | 0.4.11 | An implementation of the Element movers distance for chemical similarity of ionic compositions | Mar 25, 2025 | GPL-3.0 |
| mat_discover | 2.2.7 | Data-driven materials discovery based on composition. | Mar 25, 2025 | MIT |
| pqdm | 0.1.0 | PQDM is a TQDM and concurrent futures wrapper to allow enjoyable paralellization of progress bars. | Mar 25, 2025 | MIT |
| shap-hypetune | 0.2.4 | A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models. | Mar 25, 2025 | MIT |
| uncertainty_toolbox | 0.1.0 | A python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization. | Mar 25, 2025 | MIT |