scikit-survival
Survival analysis tool
A Python module for analyzing the time to an event in response to certain factors or covariates
Survival analysis built on top of scikit-learn
1k stars
23 watching
216 forks
Language: Python
last commit: almost 2 years agoLinked from 1 awesome list
machine-learningpythonscikit-learnsurvival-analysis
josephmisiti/awesome-machine-learningRelated projects:
| Repository | Description | Stars |
|---|---|---|
 scikit-learn/scikit-learn | A comprehensive Python module for machine learning built on top of SciPy | 60,451 |
 scikit-beam/scikit-beam | A collection of data analysis tools for X-Ray, Neutron, and Electron sciences in Python. | 94 |
 scikit-hep/scikit-hep | A collection of Python packages for Particle Physics data analysis and high-energy physics | 163 |
 aphp/eds-scikit | A Python library providing tools to process and analyze standardized clinical data from healthcare databases | 37 |
 salib/salib | This project provides various methods to analyze the sensitivity of complex systems by studying how changes in input variables affect output results. | 891 |
 scikit-mobility/scikit-mobility | A Python library for analyzing and generating human mobility data | 736 |
 gmonce/scikit-learn-book | Source code and data for a machine learning book with Python tutorials | 393 |
 esa-philab/opensartoolkit | A toolset for pre-processing and analyzing SAR data from Sentinel-1 satellites | 214 |
 scikit-learn-contrib/skope-rules | A Python machine learning module that generates logical rules to predict class labels with high precision | 624 |
| esa-philab/ost_notebooks | Tutorials and guidelines for using the Open SAR Toolkit | 32 |
 scikit-maad/scikit-maad | A toolbox for analyzing and understanding environmental audio recordings | 109 |
 hughesadam87/scikit-spectra | A toolkit for explorative spectroscopy using Python and pandas. | 94 |
 albermax/innvestigate | A toolbox to help understand neural networks' predictions by providing different analysis methods and a common interface. | 1,271 |
 jundongl/scikit-feature | A collection of algorithms and tools for selecting the most informative features from datasets in machine learning applications. | 1,513 |
| scikit-learn-contrib/metric-learn | A Python library providing efficient implementations of various supervised and weakly-supervised metric learning algorithms. | 1,402 |