jpmorganchase / cf-shapLinks
Counterfactual SHAP: a framework for counterfactual feature importance
☆20Updated 2 years ago
Alternatives and similar repositories for cf-shap
Users that are interested in cf-shap are comparing it to the libraries listed below
Sorting:
- Hyperparameter tuning via uncertainty modeling☆47Updated last year
- ☆10Updated last year
- This is the repository for the CONFLARE (CONformal LArge language model REtrieval) Python package.☆19Updated last year
- ☆16Updated 2 years ago
- ☆13Updated 4 months ago
- A Causal AI package for causal graphs.☆60Updated 3 months ago
- Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…☆24Updated 9 months ago
- Exploring the classical regression capabilities of LLMs.☆17Updated last year
- A neural network hyper parameter tuner☆30Updated last year
- An interpretable kNN based on aggregating the predictions of multiple 2d spaces.☆13Updated 8 months ago
- This repo will be an effort to learn and implement some of the milestone papers and models in Deep Learning based language models.☆10Updated 2 years ago
- A Natural Language Interface to Explainable Boosting Machines☆67Updated last year
- Code for the AISTATS 2024 Paper "From Data Imputation to Data Cleaning - Automated Cleaning of Tabular Data Improves Downstream Predictiv…☆22Updated last year
- nbsynthetic is simple and robust tabular synthetic data generation library for small and medium size datasets☆68Updated 2 years ago
- XAutoML: A Visual Analytics Tool for Understanding and Validating Automated Machine Learning☆35Updated 3 months ago
- ☆10Updated 4 years ago
- Tabular In-Context Learning☆78Updated 4 months ago
- Data Point Selection for Line Chart Visualization: analysis notebooks and implementation details☆18Updated last year
- Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.☆65Updated 5 months ago
- ☆11Updated 4 months ago
- Automatic machine learning for tabular data. ⚡🔥⚡☆70Updated 3 years ago
- Projects completed under LinuxWorld Informatics Ltd. - MLOps Training.☆12Updated 4 years ago
- [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.☆56Updated 3 weeks ago
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆28Updated 4 years ago
- Multi-class probabilistic classification using inductive and cross Venn–Abers predictors☆48Updated 3 years ago
- The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation (NeurIPS 2021) by Alex J. Chan, Ioana Bica, Alihan Huyuk…☆29Updated 3 years ago
- My book: Gentle Introduction to Chaotic Dynamical Systems. Includes stochastic dynamical systems and statistical properties of numeratio…☆42Updated 5 months ago
- Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.☆20Updated 2 years ago
- Repository for the explanation method Calibrated Explanations (CE)☆67Updated last month
- Testing Language Models for Memorization of Tabular Datasets.☆34Updated 5 months ago