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Survival analysis in Python
Created
2013-08-28
2,311 commits to master branch, last one 22 days ago
Machine Learning in R
Created
2013-08-29
4,812 commits to master branch, last one 3 months ago
Survival analysis built on top of scikit-learn
Created
2016-12-26
1,161 commits to master branch, last one 5 days ago
Survival analysis with PyTorch
Created
2018-02-12
308 commits to master branch, last one 2 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 11 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 about a month ago
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
Created
2017-09-11
468 commits to main branch, last one 3 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
1,800 commits to main branch, last one 26 days ago
A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.
Created
2022-01-03
91 commits to main branch, last one about a year 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
616 commits to master branch, last one 4 months 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 5 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 about a month ago
SurvSHAP(t): Time-dependent explanations of machine learning survival models
Created
2022-08-03
92 commits to main branch, last one 10 months ago
Survival analysis in Julia
Created
2017-04-04
97 commits to main branch, last one 5 months ago
Deep survival analysis made easy
Created
2024-02-29
117 commits to main branch, last one 12 days ago
SALMON: Survival Analysis Learning with Multi-Omics Neural Networks
Created
2019-01-21
25 commits to master branch, last one 26 days ago
:package: Non-parametric Causal Effects Based on Modified Treatment Policies :crystal_ball:
Created
2020-03-30
677 commits to master branch, last one 4 months 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 9 days ago
Competing Risks and Survival Analysis
Created
2023-05-15
188 commits to main branch, last one 4 days 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 3 months ago
Implementation of DeepSurv using Keras
Created
2020-07-17
145 commits to master branch, last one about a year ago