bdwilliamson / vimpyLinks
Perform inference on algorithm-agnostic variable importance in Python
☆21Updated 3 years ago
Alternatives and similar repositories for vimpy
Users that are interested in vimpy are comparing it to the libraries listed below
Sorting:
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆29Updated 5 years ago
- Codebase for "AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization", ICML 2018.☆56Updated 4 years ago
- Approximate knockoffs and model-free variable selection.☆56Updated 4 years ago
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆62Updated 4 months ago
- Nested cross-validation for accurate confidence intervals for prediction error.☆43Updated 3 years ago
- Explaining dimensionality results using SHAP values☆55Updated 11 months ago
- Initialization is critical for preserving global data structure in both t-SNE and UMAP☆24Updated 4 years ago
- Multi-task regression in Python☆25Updated 4 years ago
- Code for ICML 2021 paper "Regularizing towards Causal Invariance: Linear Models with Proxies" (ICML 2021)☆11Updated 3 years ago
- Code to pair with the paper "Effective Ways to Build and Evaluate Individual Survival Distributions".☆23Updated 4 years ago
- c-lasso: a Python package for constrained sparse regression and classification☆32Updated 4 years ago
- ☆10Updated 4 years ago
- A Bayesian Neural Network with a horseshoe prior for improved interpretability☆59Updated 2 years ago
- Conceptual & empirical comparisons between decision forests & deep networks☆18Updated 6 months ago
- Code for the paper "Deep Cox Mixtures for Survival Regression", Machine Learning for Healthcare Conference 2021☆29Updated 3 years ago
- General Latent Feature Modeling for Heterogeneous data☆50Updated last year
- The Python wrapper for LowRankModels.jl.☆15Updated 6 years ago
- ❓y0 (pronounced "why not?") is for causal inference in Python☆65Updated this week
- Python implementation of iterative-random-forests☆68Updated last year
- The package is developed for treatment recommendation & pairwise treatment individual effect estimation (ITE/CATE/HTE) when multiple trea…☆11Updated 2 years ago
- GAMI-Net: Generalized Additive Models with Structured Interactions☆31Updated 3 years ago
- ☆29Updated 3 years ago
- Python package for the creation, manipulation, and learning of Causal DAGs☆155Updated 2 years ago
- Official Repository for our UAI paper Countdown Regression on the MIMIC-III Dataset☆19Updated 6 years ago
- This is the implementation of Sparse Projection Oblique Randomer Forest☆101Updated last year
- Statistical Inference and Sure Independence Screening via Ball Statistics☆32Updated 5 months ago
- "Oblique Decision Trees from Derivatives of ReLU Networks" (ICLR 2020, previously called "Locally Constant Networks")☆22Updated 4 years ago
- ICML 2018: "Adversarial Time-to-Event Modeling"☆37Updated 7 years ago
- Codebase for "Demystifying Black-box Models with Symbolic Metamodels", NeurIPS 2019.☆52Updated 6 years ago
- Conditional probability, conditional entropy, and mutual information estimation in Python. https://arxiv.org/abs/1907.00325☆12Updated 5 years ago