jjbrophy47 / tree_influenceLinks
Influence Estimation for Gradient-Boosted Decision Trees
☆29Updated last year
Alternatives and similar repositories for tree_influence
Users that are interested in tree_influence are comparing it to the libraries listed below
Sorting:
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆43Updated 3 years ago
- ☆10Updated 3 years ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- For calculating Shapley values via linear regression.☆72Updated 4 years ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆75Updated 2 years ago
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Updated 2 years ago
- Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems☆24Updated 3 years ago
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆73Updated last year
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 3 years ago
- Extending Conformal Prediction to LLMs☆69Updated last year
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆70Updated 2 years ago
- ModelDiff: A Framework for Comparing Learning Algorithms☆58Updated 2 years ago
- csl: PyTorch-based Constrained Learning☆12Updated 3 years ago
- Testing Language Models for Memorization of Tabular Datasets.☆36Updated 11 months ago
- A Python package for generating concise, high-quality summaries of a probability distribution☆57Updated 2 months ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆43Updated 7 months ago
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆88Updated 2 years ago
- Unofficial implementation of Conformal Language Modeling by Quach et al☆29Updated 2 years ago
- ☆37Updated 2 years ago
- Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI☆55Updated 3 years ago
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆16Updated 3 years ago
- A repo for transfer learning with deep tabular models☆105Updated 2 years ago
- Neural Additive Models (Google Research)☆74Updated 4 years ago
- Code for the paper "Rethinking Importance Weighting for Deep Learning under Distribution Shift".☆30Updated 4 years ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆35Updated last year
- ☆111Updated 3 years ago
- Wrap around any model to output differentially private prediction sets with finite sample validity on any dataset.☆18Updated last year
- Active and Sample-Efficient Model Evaluation☆26Updated 7 months ago
- Multiple Generalized Additive Models implemented in Python (EBM, XGB, Spline, FLAM). Code for our KDD 2021 paper "How Interpretable and T…☆13Updated 4 years ago
- Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.☆44Updated 2 months ago