35 dependents
| Package | Description | Downloads/month |
|---|---|---|
| Python Implementation of STreeD: Dynamic Programming Approach for Optimal Decisi... | 9K | |
| A set of documented functions for supporting operations research of photovoltaic... | 3K | |
| Single Sample Network Analysis | 3K | |
| A proprietary service for secure database and API interactions | 3K | |
| Evaluation and adaption method for the UNICORN Challenge | 2K | |
| A deep-learning based multi-omics bulk sequencing data integration suite with a ... | 2K | |
| Implementation of Optimal Sparse Survival Trees | 2K | |
| Build AI with anyone. On data that can't move. SDK for the tracebloc collaborati... | 2K | |
| jarvAIs is a Python AutoML package for oncology datasets. | 1K | |
| CRISP-NAM: Competing Risks Interpretable Survival Prediction with Neural Additiv... | 1K | |
| Implementation of DNAMite, an interpretable model for survival analysis and more... | 875 | |
| Implementation of Federated Random Survival Forest for partially overlapping dat... | 684 | |
| Statistical functions not included by canonical Python analytical packages. | 658 | |
| SurvSHAP(t): Time-dependent explanations of machine learning survival models | 647 | |
| A Flexible Python Implementation of Targeted Estimation for Survival and Competi... | 574 | |
| Production-ready deep survival analysis with one line of code | 506 | |
| 454 | ||
| Causal Inference via Ensemble G-Computing with Stochastic Matching | 423 | |
| 404 | ||
| Interactive and integrated analysis of multiplexed tissue microarrays | 393 | |
| Development of high bleeding risk tools for UHBW | 392 | |
| Explaining Random Forest model predictions by Building Explanations through a Lo... | 290 | |
| A library for temporal analysis of trajectories. | 275 | |
| Exhaustive Feature Selection | 258 | |
| A toolkit for evaluating machine learning models for healthcare applications. | 220 | |
| Cancer ASE driver identification (CASEDI) | 171 | |
| MOOZY: A Patient-First Foundation Model for Computational Pathology. | 132 | |
| MyeVAE: a multi-modal variational autoencoder for risk profiling of newly diagno... | 127 | |
| Charting CRItical tranSient Gene Interactions (CRISGI) in Disease Progression fr... | 121 | |
| FPBoost: a gradient boosting model for survival analysis that builds hazard func... | 98 | |
| TabICL-Survival: A Tabular Foundation Model for Survival In-Context Learning | 91 | |
| A Python package for running lt cvd predictions | 82 | |
| Biomarker and survival analysis software for thesis. | 81 | |
| Boruta feature selection for survival analysis | 78 | |
| The cobsurv package | 75 |
