facebookresearch / nbm-spamLinks
Training and evaluating NBM and SPAM for interpretable machine learning.
☆78Updated 2 years ago
Alternatives and similar repositories for nbm-spam
Users that are interested in nbm-spam are comparing it to the libraries listed below
Sorting:
- Neural Additive Models (Google Research)☆70Updated 3 years ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆128Updated 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
- Code accompanying paper: Meta-Learning to Improve Pre-Training☆37Updated 3 years ago
- A benchmark for distribution shift in tabular data☆52Updated 11 months ago
- A repo for transfer learning with deep tabular models☆103Updated 2 years ago
- ModelDiff: A Framework for Comparing Learning Algorithms☆56Updated last year
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆46Updated 2 years ago
- A Python package for intrinsic dimension estimation☆89Updated last month
- Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"☆86Updated last year
- Hyperbolic PCA via Horospherical Projections☆71Updated last year
- An Empirical Framework for Domain Generalization In Clinical Settings☆30Updated 3 years ago
- For calculating Shapley values via linear regression.☆68Updated 3 years ago
- TabDPT: Scaling Tabular Foundation Models☆27Updated last month
- A library for uncertainty quantification based on PyTorch☆121Updated 3 years ago
- Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments☆74Updated 2 years ago
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆66Updated 6 months ago
- ☆37Updated 4 years ago
- Influence Estimation for Gradient-Boosted Decision Trees☆27Updated last year
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆41Updated 2 years ago
- Active and Sample-Efficient Model Evaluation☆24Updated last week
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆66Updated 2 years ago
- ☆109Updated 2 years ago
- An amortized approach for calculating local Shapley value explanations☆97Updated last year
- Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratc…☆150Updated 2 years ago
- Code repository for the NAACL 2022 paper "ExSum: From Local Explanations to Model Understanding"☆64Updated 3 years ago
- Mixture of Decision Trees for Interpretable Machine Learning☆11Updated 3 years ago
- ☆138Updated last year
- Extending Conformal Prediction to LLMs☆66Updated 11 months ago
- Neural Additive Models (Google Research)☆28Updated last year