31 results found Sort:
- Filter by Primary Language:
- Python (15)
- R (6)
- Jupyter Notebook (3)
- Julia (2)
- C# (1)
- MATLAB (1)
- HTML (1)
- +
Survival analysis in Python
Created
2013-08-28
2,293 commits to master branch, last one 3 months ago
Machine Learning in R
Created
2013-08-29
4,811 commits to master branch, last one about a year ago
Survival analysis built on top of scikit-learn
Created
2016-12-26
1,116 commits to master branch, last one 5 days ago
Survival analysis with PyTorch
Created
2018-02-12
299 commits to master branch, last one 2 years 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 5 months ago
Improving XGBoost survival analysis with embeddings and debiased estimators
Created
2021-01-13
69 commits to main branch, last one 2 years 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 8 months 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
GPstuff - Gaussian process models for Bayesian analysis
Created
2014-08-28
2,094 commits to develop branch, last one about a year 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 3 years 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
1,454 commits to main branch, last one 20 hours 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
615 commits to master branch, last one 2 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
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
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
479 commits to main branch, last one about a month 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 9 months ago
SurvSHAP(t): Time-dependent explanations of machine learning survival models
Created
2022-08-03
92 commits to main branch, last one 5 months ago
Survival analysis in Julia
Created
2017-04-04
97 commits to main branch, last one 5 days ago
SALMON: Survival Analysis Learning with Multi-Omics Neural Networks
Created
2019-01-21
20 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
80 commits to master branch, last one about a month ago
Joint Models for Longitudinal and Survival Data using MCMC
Created
2015-09-16
300 commits to master branch, last one 3 years ago
:package: Non-parametric Causal Effects Based on Modified Treatment Policies :crystal_ball:
Created
2020-03-30
633 commits to master branch, last one 2 months 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
149 commits to master branch, last one 23 days ago
Implementation of DeepSurv using Keras
Created
2020-07-17
145 commits to master branch, last one about a year ago
Deep survival analysis made easy
Created
2024-02-29
70 commits to main branch, last one about a month ago
SurvTRACE: Transformers for Survival Analysis with Competing Events
Created
2021-10-01
18 commits to main branch, last one 8 months ago
Resources for Survival Analysis
Created
2024-01-08
19 commits to main branch, last one 8 days ago
Competing Risks and Survival Analysis
Created
2023-05-15
162 commits to main branch, last one 6 months ago