xgboost-survival-embeddings
Improving XGBoost survival analysis with embeddings and debiased estimators (by loft-br)
pycox
Survival analysis with PyTorch (by havakv)
xgboost-survival-embeddings | pycox | |
---|---|---|
3 | 1 | |
307 | 764 | |
2.9% | - | |
0.0 | 0.0 | |
9 months ago | 9 months ago | |
Python | Python | |
Apache License 2.0 | BSD 2-clause "Simplified" License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
xgboost-survival-embeddings
Posts with mentions or reviews of xgboost-survival-embeddings.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-11-24.
- Churn/Retention prediction without machine learning
- Show HN: Better XGBoost Survival Analysis via embeddings and debiased estimators
-
Forecasting multiple time series ideas
Here’s a great package for survival analysis in python
pycox
Posts with mentions or reviews of pycox.
We have used some of these posts to build our list of alternatives
and similar projects.
-
[D] Time-varying covariates in survival analysis
take a look at https://github.com/havakv/pycox
What are some alternatives?
When comparing xgboost-survival-embeddings and pycox you can also consider the following projects:
flow-forecast - Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
pytorch-forecasting - Time series forecasting with PyTorch
auton-survival - Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events
pytorch-tutorial - PyTorch Tutorial for Deep Learning Researchers