tfcausalimpact
Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability. (by WillianFuks)
auton-survival
Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events (by autonlab)
| tfcausalimpact | auton-survival | |
|---|---|---|
| 1 | 1 | |
| 579 | 296 | |
| - | 2.0% | |
| 4.0 | 4.4 | |
| 4 days ago | about 1 month ago | |
| Python | Python | |
| Apache License 2.0 | MIT 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.
tfcausalimpact
Posts with mentions or reviews of tfcausalimpact.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Slight issue with using this causal impact library
i found this library https://github.com/WillianFuks/tfcausalimpact which seems to be a python port of the R library
auton-survival
Posts with mentions or reviews of auton-survival.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing tfcausalimpact and auton-survival you can also consider the following projects:
causal-learn - Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
keras - Deep Learning for humans [Moved to: https://github.com/keras-team/keras]
xgboost-survival-embeddings - Improving XGBoost survival analysis with embeddings and debiased estimators
pycox - Survival analysis with PyTorch
causalnex - A Python library that helps data scientists to infer causation rather than observing correlation.
pgmpy - Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
autoprognosis - A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.