scikit-survival VS xgboost-survival-embeddings

Compare scikit-survival vs xgboost-survival-embeddings and see what are their differences.

xgboost-survival-embeddings

Improving XGBoost survival analysis with embeddings and debiased estimators (by loft-br)
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scikit-survival xgboost-survival-embeddings
1 3
1,072 305
- 2.3%
8.9 0.0
about 21 hours ago 8 months ago
Python Python
GNU General Public License v3.0 only Apache License 2.0
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.

scikit-survival

Posts with mentions or reviews of scikit-survival. We have used some of these posts to build our list of alternatives and similar projects.

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.

What are some alternatives?

When comparing scikit-survival and xgboost-survival-embeddings you can also consider the following projects:

pycox - Survival analysis with PyTorch

flow-forecast - Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

yellowbrick - Visual analysis and diagnostic tools to facilitate machine learning model selection.

auton-survival - Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events

data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

Face Recognition - The world's simplest facial recognition api for Python and the command line

mars - Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

skope-rules - machine learning with logical rules in Python

orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

autoprognosis - A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.