jacobkauffmann / neon_demo
Demonstration of the NEON approach for explainable clustering.
☆11Updated 3 years ago
Alternatives and similar repositories for neon_demo:
Users that are interested in neon_demo are comparing it to the libraries listed below
- Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI☆54Updated 2 years ago
- Hyperbolic PCA via Horospherical Projections☆70Updated last year
- Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)☆97Updated 2 years ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- Repo for open sourcing the NAMs.☆25Updated 4 years ago
- B-LRP is the repository for the paper How Much Can I Trust You? — Quantifying Uncertainties in Explaining Neural Networks☆18Updated 2 years ago
- ☆33Updated 2 years ago
- AutoML Two-Sample Test☆19Updated 2 years ago
- Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems☆74Updated 3 years ago
- ☆120Updated 3 years ago
- Code for "Generative causal explanations of black-box classifiers"☆34Updated 4 years ago
- ☆46Updated 4 years ago
- xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology☆15Updated last month
- Self-Explaining Neural Networks☆13Updated last year
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated 2 years ago
- MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space☆40Updated 4 years ago
- Tools for training explainable models using attribution priors.☆124Updated 4 years ago
- Code accompanying paper: Meta-Learning to Improve Pre-Training☆37Updated 3 years ago
- Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep…☆150Updated 4 years ago
- A lightweight implementation of removal-based explanations for ML models.☆59Updated 3 years ago
- BenchBench is a Python package to evaluate multi-task benchmarks.☆15Updated 9 months ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆40Updated 2 years ago
- ☆26Updated 2 years ago
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆32Updated 3 years ago
- Official Code Repo for the Paper: "How does This Interaction Affect Me? Interpretable Attribution for Feature Interactions", In NeurIPS 2…☆39Updated 2 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Updated 4 years ago
- Neural Additive Models (Google Research)☆69Updated 3 years ago
- Code for the intrinsic dimensionality estimate of data representations☆80Updated 5 years ago
- Code repository for the AAAI 2022 paper "Do Feature Attribution Methods Correctly Attribute Features?"☆20Updated 2 years ago
- Code for Neural Manifold Clustering and Embedding☆59Updated 3 years ago