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
- Combating hidden stratification with GEORGE☆63Updated 3 years ago
- MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space☆40Updated 4 years ago
- Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling☆31Updated 4 years ago
- Hyperbolic PCA via Horospherical Projections☆71Updated last year
- Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.☆49Updated last year
- Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)☆96Updated 2 years ago
- Code accompanying paper: Meta-Learning to Improve Pre-Training☆37Updated 3 years ago
- AutoML Two-Sample Test☆19Updated 2 years ago
- An Empirical Framework for Domain Generalization In Clinical Settings☆30Updated 3 years ago
- ☆30Updated 3 years ago
- The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.☆40Updated 2 years ago
- Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)☆50Updated 5 years ago
- xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology☆13Updated last month
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated 2 years ago
- Tools for training explainable models using attribution priors.☆123Updated 4 years ago
- Contains public materials for students enrolled in MITx: 6.871x, Machine Learning for Healthcare☆20Updated 3 years ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆77Updated 2 years ago
- A benchmark for distribution shift in tabular data☆51Updated 9 months ago
- ☆19Updated last year
- An implementation of the paper 'Using Deep Networks for Scientific Discovery in Physiological Signals'☆12Updated 4 years ago
- This repository contains implementations of algorithms proposed in recent papers from top machine learning conferences on Fairness, Accou…☆33Updated 2 years ago
- Neural Additive Models (Google Research)☆69Updated 3 years ago
- Implementation of Variational Autoencoders using Pytorch Lightning☆33Updated 2 years ago
- A simple algorithm to identify and correct for label shift.☆21Updated 7 years ago
- Code for Neural Manifold Clustering and Embedding☆59Updated 3 years ago
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆42Updated 4 years ago
- ☆120Updated 3 years ago
- ☆46Updated 4 years ago
- Resources for Machine Learning Explainability☆75Updated 7 months ago