CausalPy
genome_integration
| CausalPy | genome_integration | |
|---|---|---|
| 2 | 1 | |
| 805 | 11 | |
| 6.3% | - | |
| 9.2 | 0.0 | |
| 5 days ago | almost 2 years ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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.
CausalPy
- CausalPy: A Python package for causal inference in quasi-experimental settings
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This Week In Python
CausalPy – A Python package for causal inference in quasi-experimental settings
genome_integration
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[D] Clustering high dimensional
Causal Genomic Analysis
What are some alternatives?
pgmpy - Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
causalnex - A Python library that helps data scientists to infer causation rather than observing correlation.
lumi - Lumi is an nano framework to convert your python functions into a REST API without any extra headache.
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
causalml - Uplift modeling and causal inference with machine learning algorithms
mbdpy - Python module for model-based-design
codon - A high-performance, zero-overhead, extensible Python compiler using LLVM