amspector100 / knockpy
Knockoffs for controlled variable selection
☆33Updated last year
Alternatives and similar repositories for knockpy:
Users that are interested in knockpy are comparing it to the libraries listed below
- Approximate knockoffs and model-free variable selection.☆52Updated 3 years ago
- A library for bayesian variable selection☆28Updated last month
- A Python package for General Graphical Lasso computation☆32Updated this week
- A versatile interface to the knockoff methodology.☆24Updated 2 years ago
- Python package for the creation, manipulation, and learning of Causal DAGs☆151Updated last year
- Inference in Bayesian Networks with R☆11Updated 2 years ago
- Code to pair with the paper "Effective Ways to Build and Evaluate Individual Survival Distributions".☆24Updated 3 years ago
- A python package for semi-structured deep distributional regression☆22Updated 2 years ago
- ☆35Updated 3 months ago
- Perform inference on algorithm-agnostic variable importance in Python☆20Updated 2 years ago
- ☆54Updated 2 years ago
- Stable Differentiable Causal Discovery (SDCD)☆21Updated 8 months ago
- ☆30Updated 2 years ago
- ☆23Updated 2 years ago
- A Bayesian group factor model with structured sparsity☆20Updated 9 years ago
- pyGPCCA - python GPCCA: Generalized Perron Cluster Cluster Analysis package to coarse-grain reversible and non-reversible Markov state mo…☆21Updated 3 months ago
- ☆32Updated 2 years ago
- Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems☆31Updated 2 years ago
- Code repository for the paper "Towards a Comprehensive Evaluation of Dimension Reduction Methods for Data Visualization"☆11Updated 7 months ago
- A Library for Denoising Single-Cell Data with Random Matrix Theory☆37Updated last year
- Python software for selective inference☆52Updated last year
- Contrastive Poisson latent variable models (CPLVMs)☆11Updated 3 years ago
- Making it easier to build stable, trustworthy data-science pipelines based on the PCS framework.☆70Updated last year
- generalized principal component analysis (GLM-PCA) implemented in python☆58Updated 4 years ago
- Software to create Precision-Recall-Gain curves and calculate area under the curve☆40Updated 2 years ago
- ☆58Updated last year
- Fast Inference of Networks from Directed Regulations☆21Updated last year
- Software for selective inference☆17Updated last year
- c-lasso: a Python package for constrained sparse regression and classification☆32Updated 3 years ago
- Causal Modeling with Stationary Diffusions, AISTATS 2024☆17Updated 7 months ago