genome_integration
CausalPy
genome_integration | CausalPy | |
---|---|---|
1 | 2 | |
11 | 773 | |
- | 2.5% | |
0.0 | 9.2 | |
almost 2 years ago | 7 days ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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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.
genome_integration
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[D] Clustering high dimensional
Causal Genomic Analysis
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
What are some alternatives?
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.
enformer-pytorch - Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch
lumi - Lumi is an nano framework to convert your python functions into a REST API without any extra headache.
awesome-causality-algorithms - An index of algorithms for learning causality with data
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.
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