lemeln / namLinks
Neural Additive Models (Google Research)
☆28Updated last year
Alternatives and similar repositories for nam
Users that are interested in nam are comparing it to the libraries listed below
Sorting:
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆248Updated last year
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆46Updated 3 years ago
- Neural Additive Models (Google Research)☆71Updated 4 years ago
- A repo for transfer learning with deep tabular models☆104Updated 2 years ago
- For calculating Shapley values via linear regression.☆71Updated 4 years ago
- The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"☆147Updated 3 years ago
- An amortized approach for calculating local Shapley value explanations☆100Updated last year
- PyTorch implementation for Neural Additive Models☆25Updated 4 years ago
- Official PyTorch implementation of STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables (ICLR 2023 Spotlight)…☆58Updated 2 years ago
- For calculating global feature importance using Shapley values.☆276Updated last week
- Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020☆149Updated 4 years ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆70Updated 2 years ago
- A collection of algorithms of counterfactual explanations.☆50Updated 4 years ago
- A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)☆199Updated 7 months ago
- Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representati…☆84Updated last year
- A framework for prototyping and benchmarking imputation methods☆196Updated 2 years ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- A benchmark for distribution shift in tabular data☆55Updated last year
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆87Updated 2 years ago
- Local explanations with uncertainty 💐!☆40Updated 2 years ago
- An Empirical Framework for Domain Generalization In Clinical Settings☆30Updated 3 years ago
- Experiments on Tabular Data Models☆279Updated 2 years ago
- ☆62Updated 4 years ago
- This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help …☆24Updated 2 years ago
- pyCausalFS：A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification☆70Updated 4 years ago
- Python code of Hilbert-Schmidt Independence Criterion☆88Updated 3 years ago
- A lightweight implementation of removal-based explanations for ML models.☆58Updated 4 years ago
- Official Code for the paper: "Composite Feature Selection using Deep Ensembles"☆22Updated 2 years ago
- Papers and code of Explainable AI esp. w.r.t. Image classificiation☆218Updated 3 years ago
- A Data-Centric library providing a unified interface for state-of-the-art methods for hardness characterisation of data points.☆25Updated 7 months ago