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:
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆46Updated 2 years ago
- A repo for transfer learning with deep tabular models☆103Updated 2 years ago
- For calculating Shapley values via linear regression.☆68Updated 3 years ago
- A benchmark for distribution shift in tabular data☆52Updated 11 months ago
- Local explanations with uncertainty 💐!☆40Updated last year
- Neural Additive Models (Google Research)☆70Updated 3 years ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 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
- The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"☆144Updated 2 years ago
- PyTorch implementation for Neural Additive Models☆23Updated 4 years ago
- Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020☆148Updated 4 years ago
- An Empirical Framework for Domain Generalization In Clinical Settings☆30Updated 3 years ago
- Code for "Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties"☆18Updated 4 years ago
- An amortized approach for calculating local Shapley value explanations☆97Updated last year
- Uncertainty-aware classification.☆16Updated 2 years ago
- Influence Estimation for Gradient-Boosted Decision Trees☆27Updated last year
- ☆28Updated last year
- Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representati…☆77Updated last year
- ☆12Updated 2 years ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆66Updated 2 years ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆66Updated 2 years ago
- ☆61Updated 4 years ago
- Code for ICML 2020 paper: "Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders" by I. …☆52Updated 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
- ☆39Updated 2 years ago
- ☆109Updated 2 years ago
- ☆19Updated 2 years ago
- Codebase for SEFS: Self-Supervision Enhanced Feature Selection with Correlated Gates☆23Updated last year
- pyCausalFS:A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification☆69Updated 4 years ago
- Python library for classifier calibration☆17Updated last year