causal-learn
Causal Discovery in Python. It also includes (conditional) independence tests and score functions. (by py-why)
genome_integration
MR-link and genome integration. genome_integration is a repository for the analysis of genomic data. Specifically, the repository implements the causal inference method MR-link, as well as other Mendelian randomization methods. (by adriaan-vd-graaf)
| causal-learn | genome_integration | |
|---|---|---|
| 2 | 1 | |
| 1,518 | 11 | |
| 2.6% | - | |
| 6.3 | 0.0 | |
| 12 days ago | over 3 years ago | |
| Python | Python | |
| MIT License | 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.
causal-learn
Posts with mentions or reviews of causal-learn. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-05-24.
genome_integration
Posts with mentions or reviews of genome_integration. We have used some of these posts to build our list of alternatives and similar projects.
- [D] Clustering high dimensional
Causal Genomic Analysis
What are some alternatives?
When comparing causal-learn and genome_integration you can also consider the following projects:
directory-structure - :package: Print a directory tree structure in your Python code.
CausalPy - A Python package for causal inference in quasi-experimental settings
dodiscover - [Experimental] Global causal discovery algorithms
enformer-pytorch - Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch
dowhy - DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
awesome-causality-algorithms - An index of algorithms for learning causality with data