edward2
condo-adapter
Our great sponsors
| edward2 | condo-adapter | |
|---|---|---|
| 1 | 2 | |
| 664 | 3 | |
| 1.1% | - | |
| 6.4 | 3.7 | |
| 5 months ago | about 1 year ago | |
| Jupyter Notebook | Jupyter Notebook | |
| Apache License 2.0 | Creative Commons Attribution Share Alike 4.0 |
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.
edward2
condo-adapter
-
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.
-
New method for batch correction confounded by outcome distribution
Software (Python) is here: https://github.com/calvinmccarter/condo-adapter
What are some alternatives?
Knet.jl - Koç University deep learning framework.
hyperlearn - 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
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).
geomstats - Computations and statistics on manifolds with geometric structures.
uncertainty-baselines - High-quality implementations of standard and SOTA methods on a variety of tasks.
probability - Probabilistic reasoning and statistical analysis in TensorFlow
cracking-the-data-science-interview - A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
ML-foundations - Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.
imodels - Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).