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:
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆130Updated 2 years ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆70Updated 2 years ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆67Updated 2 years ago
- Code accompanying paper: Meta-Learning to Improve Pre-Training☆37Updated 3 years ago
- Neural Additive Models (Google Research)☆71Updated 3 years ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆247Updated 11 months ago
- Optimal Transport Dataset Distance☆168Updated 3 years ago
- Inference code for "TabDPT: Scaling Tabular Foundation Models on Real Data"☆52Updated this week
- PyTorch Explain: Interpretable Deep Learning in Python.☆159Updated last year
- ☆109Updated 2 years ago
- A repo for transfer learning with deep tabular models☆104Updated 2 years ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated 2 years ago
- Influence Estimation for Gradient-Boosted Decision Trees☆29Updated last year
- Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"☆85Updated last year
- Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI☆55Updated 2 years ago
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆68Updated 8 months ago
- Tools for training explainable models using attribution priors.☆124Updated 4 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆88Updated last year
- A library for uncertainty quantification based on PyTorch☆121Updated 3 years ago
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆84Updated last year
- Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization☆342Updated last year
- ☆139Updated last year
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆66Updated 5 months ago
- This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…☆83Updated last month
- Testing Language Models for Memorization of Tabular Datasets.☆34Updated 5 months ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆42Updated last month
- Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratc…☆151Updated 2 years ago
- Our maintained PFN repository. Come here to train SOTA PFNs.☆95Updated last week
- ☆312Updated 5 months ago
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆223Updated 9 months ago