amspector100 / knockpyLinks
Knockoffs for controlled variable selection
☆37Updated last month
Alternatives and similar repositories for knockpy
Users that are interested in knockpy are comparing it to the libraries listed below
Sorting:
- Approximate knockoffs and model-free variable selection.☆55Updated 3 years ago
- Python package for the creation, manipulation, and learning of Causal DAGs☆152Updated 2 years ago
- A library for bayesian variable selection☆30Updated 7 months ago
- Feature selection in neural networks☆240Updated 11 months ago
- A Python package for General Graphical Lasso computation☆36Updated 5 months ago
- Contrastive PCA☆218Updated 10 months ago
- ☆58Updated 2 months ago
- Group Lasso implementation following the scikit-learn API☆106Updated last year
- Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data☆185Updated 3 years ago
- Graphical modelling with time series data using an ODE model☆11Updated 3 years ago
- ☆45Updated 2 months ago
- ☆32Updated 2 years ago
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆47Updated 3 years ago
- Making it easier to build stable, trustworthy data-science pipelines based on the PCS framework.☆71Updated last year
- Stable Differentiable Causal Discovery (SDCD)☆23Updated last year
- Deep Kernel Survival Analysis and Subject-Specific Survival Time Prediction Intervals☆12Updated 3 years ago
- ☆29Updated 2 years ago
- A Python package for intrinsic dimension estimation☆92Updated 3 months ago
- Deep survival analysis made easy☆148Updated 2 weeks ago
- Deep Large-Scale Inference UsingKnockoffs☆11Updated 3 years ago
- A probabilistic model to cluster survival data in a variational deep clustering setting☆30Updated 3 years ago
- c-lasso: a Python package for constrained sparse regression and classification☆32Updated 4 years ago
- Fast and modular sklearn replacement for generalized linear models☆183Updated 3 weeks ago
- A versatile interface to the knockoff methodology.☆25Updated 3 years ago
- Local explanations with uncertainty 💐!☆40Updated 2 years ago
- Code for the paper "Deep Cox Mixtures for Survival Regression", Machine Learning for Healthcare Conference 2021☆29Updated 2 years ago
- (Conditional) Independence testing & Markov blanket feature selection using k-NN mutual information and conditional mutual information es…☆30Updated 5 years ago
- Personalized Regression☆17Updated 5 years ago
- Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)☆108Updated 3 years ago
- A decision-tree based conditional independence test.☆34Updated 2 years ago