condo-adapter
Confounded Domain Adapter (by calvinmccarter)
edward2
A simple probabilistic programming language. (by google)
condo-adapter | edward2 | |
---|---|---|
2 | 1 | |
3 | 666 | |
- | 1.2% | |
3.7 | 6.4 | |
about 1 year ago | 5 months ago | |
Jupyter Notebook | Jupyter Notebook | |
Creative Commons Attribution Share Alike 4.0 | Apache License 2.0 |
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.
condo-adapter
Posts with mentions or reviews of condo-adapter.
We have used some of these posts to build our list of alternatives
and similar projects.
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Great thread on the importance of EDA and confounder adjustment prior to differential expression analysis (RNA-seq)
Fwiw, last week I released a new method for batch correction that conditions on confounders which are correlated with the batch variable. Preprint here: https://arxiv.org/abs/2203.12720 and Python code here: https://github.com/calvinmccarter/condo-adapter.
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New method for batch correction confounded by outcome distribution
Software (Python) is here: https://github.com/calvinmccarter/condo-adapter
edward2
Posts with mentions or reviews of edward2.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing condo-adapter and edward2 you can also consider the following projects:
hyperlearn - 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Knet.jl - KoƧ University deep learning framework.
geomstats - Computations and statistics on manifolds with geometric structures.
conformal_classification - Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).
probability - Probabilistic reasoning and statistical analysis in TensorFlow
uncertainty-baselines - High-quality implementations of standard and SOTA methods on a variety of tasks.