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Survival analysis in Python
Created
2013-08-28
2,311 commits to master branch, last one about a month ago
Machine Learning in R
Created
2013-08-29
4,812 commits to master branch, last one 4 months ago
Survival analysis built on top of scikit-learn
Created
2016-12-26
1,176 commits to master branch, last one 24 days ago
Survival analysis with PyTorch
Created
2018-02-12
308 commits to master branch, last one 3 months ago
Open source package for Survival Analysis modeling
Created
2019-03-29
24 commits to master branch, last one 5 years ago
Reliability engineering toolkit for Python - https://reliability.readthedocs.io/en/latest/
Created
2019-07-22
1,868 commits to master branch, last one 12 months ago
Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events
Created
2020-04-01
371 commits to master branch, last one about a year ago
Improving XGBoost survival analysis with embeddings and debiased estimators
Created
2021-01-13
77 commits to main branch, last one 2 months ago
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
Created
2017-09-11
470 commits to main branch, last one 6 days ago
This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis
Created
2018-02-06
13 commits to master branch, last one 3 years ago
In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calculate customer LTV. I have also implemented the Random Forest mod...
Created
2019-03-20
99 commits to master branch, last one 4 years ago
GPstuff - Gaussian process models for Bayesian analysis
Created
2014-08-28
2,094 commits to develop branch, last one about a year ago
Deep Recurrent Survival Analysis, an auto-regressive deep model for time-to-event data analysis with censorship handling. An implementation of our AAAI 2019 paper and a benchmark for several (Python) ...
Created
2018-02-10
74 commits to master branch, last one 3 years ago
Probabilistic Learning for mlr3
Created
2019-07-25
1,833 commits to main branch, last one 3 days ago
A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.
Created
2022-01-03
92 commits to main branch, last one 19 days ago
Generates and evaluates D, I, A, Alias, E, T, G, and custom optimal designs. Supports generation and evaluation of mixture and split/split-split/N-split plot designs. Includes parametric and Monte Car...
Created
2016-07-05
617 commits to master branch, last one 18 days ago
Datasets for Predictive Maintenance
phm
anomaly
automation
industry-4
degradation
forecasting
time-series
time-to-event
ai-engineering
event-to-event
run-to-failure
machine-learning
anomaly-detection
survival-analysis
time-series-analysis
remaining-useful-life
run-to-failure-models
predictive-maintenance
condition-based-maintenance
prognosis-and-health-management
Created
2021-11-01
32 commits to main branch, last one about a year ago
Explainable Machine Learning in Survival Analysis
r
xai
shap
cox-model
r-package
brier-scores
biostatistics
censored-data
time-to-event
cox-regression
explainable-ai
explainable-ml
interpretable-ml
machine-learning
survival-analysis
variable-importance
explanatory-model-analysis
explainable-machine-learning
interpretable-machine-learning
probabilistic-machine-learning
Created
2022-08-31
480 commits to main branch, last one 6 months ago
COX Proportional risk model and survival analysis implemented by tensorflow.
This repository has been archived
(exclude archived)
Created
2018-11-01
49 commits to master branch, last one 3 years ago
Resources for Survival Analysis
Created
2024-01-08
26 commits to main branch, last one 2 months ago
SurvSHAP(t): Time-dependent explanations of machine learning survival models
Created
2022-08-03
92 commits to main branch, last one 11 months ago
Deep survival analysis made easy
Created
2024-02-29
136 commits to main branch, last one a day ago
Survival analysis in Julia
Created
2017-04-04
97 commits to main branch, last one 6 months ago
SALMON: Survival Analysis Learning with Multi-Omics Neural Networks
Created
2019-01-21
25 commits to master branch, last one about a month ago
:package: Non-parametric Causal Effects Based on Modified Treatment Policies :crystal_ball:
Created
2020-03-30
677 commits to master branch, last one 5 months ago
Competing Risks and Survival Analysis
Created
2023-05-15
189 commits to main branch, last one 24 days ago
Joint Models for Longitudinal and Survival Data using MCMC
Created
2015-09-16
300 commits to master branch, last one 3 years ago
A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.
Created
2019-08-07
81 commits to master branch, last one about a month ago
https://www.researchgate.net/profile/Rajah_Iyer
sql
hadoop
oracle
annuity
n-layer
readers
z-spread
kaplan-meier
householderqr
interpolation
fluid-reporting
graphics-engine
survival-analysis
chapman-kolmogorov
domain-driven-design
miningstructure-reader
black-and-scholes-pricing
domain-driven-designstyle
framework-actuarial-reporting
self-augmenting-mining-structures
Created
2018-03-01
155 commits to master branch, last one 4 months ago
Scripts for https://www.nature.com/articles/s41598-018-27707-4, using Convolutional Neural Network to detect lung cancer tumor area
Created
2018-10-08
25 commits to master branch, last one 3 years ago