pycox VS scikit-survival

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

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pycox scikit-survival
1 1
756 1,074
- -
0.0 8.9
9 months ago 5 days ago
Python Python
BSD 2-clause "Simplified" License GNU General Public License v3.0 only
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.

pycox

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

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.

What are some alternatives?

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

pytorch-forecasting - Time series forecasting with PyTorch

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

pytorch-tutorial - PyTorch Tutorial for Deep Learning Researchers

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.

TorchGA - Train PyTorch Models using the Genetic Algorithm with PyGAD

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

bittensor - Internet-scale Neural Networks

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

GeneticAlgorithmPython - Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

xgboost-survival-embeddings - Improving XGBoost survival analysis with embeddings and debiased estimators

snntorch - Deep and online learning with spiking neural networks in Python

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