facebookresearch / nbm-spam
Training and evaluating NBM and SPAM for interpretable machine learning.
☆77Updated last year
Alternatives and similar repositories for nbm-spam:
Users that are interested in nbm-spam are comparing it to the libraries listed below
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 2 years ago
- A repo for transfer learning with deep tabular models☆102Updated 2 years ago
- ☆108Updated 2 years ago
- A benchmark for distribution shift in tabular data☆50Updated 8 months ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆62Updated 2 years ago
- Code accompanying paper: Meta-Learning to Improve Pre-Training☆37Updated 3 years ago
- Neural Additive Models (Google Research)☆69Updated 3 years ago
- TabDPT: Scaling Tabular Foundation Models☆25Updated 2 weeks ago
- ModelDiff: A Framework for Comparing Learning Algorithms☆55Updated last year
- This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…☆82Updated 3 months ago
- For calculating Shapley values via linear regression.☆67Updated 3 years ago
- Influence Estimation for Gradient-Boosted Decision Trees☆26Updated 8 months ago
- Neural Additive Models (Google Research)☆26Updated 9 months ago
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆43Updated 2 years ago
- relplot: Utilities for measuring calibration and plotting reliability diagrams☆138Updated 8 months ago
- Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratc…☆148Updated 2 years ago
- Optimal Transport Dataset Distance☆159Updated 2 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆88Updated 9 months ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆40Updated 2 years ago
- An amortized approach for calculating local Shapley value explanations☆95Updated last year
- Testing Language Models for Memorization of Tabular Datasets.☆33Updated last week
- ☆142Updated 10 months ago
- ☆44Updated 2 years ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆62Updated 2 years ago
- Making Heads or Tails Towards Semantically Consistent Visual Counterfactuals☆30Updated 2 years ago
- ☆35Updated last year
- Code for "The Intrinsic Dimension of Images and Its Impact on Learning" - ICLR 2021 Spotlight https://openreview.net/forum?id=XJk19XzGq2J☆65Updated 10 months ago
- Model-agnostic posthoc calibration without distributional assumptions☆42Updated last year
- A Python package for intrinsic dimension estimation☆85Updated last week
- Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments☆73Updated 2 years ago