lemeln / nam
Neural Additive Models (Google Research)
☆26Updated 6 months ago
Related projects ⓘ
Alternatives and complementary repositories for nam
- Neural Additive Models (Google Research)☆67Updated 3 years ago
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆43Updated 2 years ago
- A benchmark for distribution shift in tabular data☆43Updated 5 months ago
- For calculating Shapley values via linear regression.☆65Updated 3 years ago
- A repo for transfer learning with deep tabular models☆101Updated last year
- An amortized approach for calculating local Shapley value explanations☆91Updated 11 months ago
- Local explanations with uncertainty 💐!☆39Updated last year
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆38Updated 2 years ago
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆85Updated 3 months ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆76Updated last year
- An Empirical Framework for Domain Generalization In Clinical Settings☆27Updated 2 years ago
- Official PyTorch implementation of STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables (ICLR 2023 Spotlight)…☆52Updated last year
- ☆18Updated 2 months ago
- A Data-Centric library providing a unified interface for state-of-the-art methods for hardness characterisation of data points.☆23Updated last month
- Code for "Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties"☆18Updated 3 years ago
- Model-agnostic posthoc calibration without distributional assumptions☆42Updated last year
- A lightweight implementation of removal-based explanations for ML models.☆57Updated 3 years ago
- ☆16Updated last year
- A collection of algorithms of counterfactual explanations.☆50Updated 3 years ago
- TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks☆50Updated 2 weeks ago
- ☆30Updated last year
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆57Updated last year
- PyTorch implementation for Neural Additive Models☆23Updated 3 years ago
- A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)☆158Updated last month
- Distributional Shapley: A Distributional Framework for Data Valuation☆30Updated 6 months ago
- Uncertainty-aware classification.☆14Updated 2 years ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆36Updated 6 months ago
- ☆22Updated 5 years ago
- ☆115Updated 7 months ago
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆77Updated last year