suinleelab / path_explain
A repository for explaining feature attributions and feature interactions in deep neural networks.
☆185Updated 3 years ago
Alternatives and similar repositories for path_explain:
Users that are interested in path_explain are comparing it to the libraries listed below
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)☆128Updated 3 years ago
- Tools for training explainable models using attribution priors.☆122Updated 3 years ago
- Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.☆130Updated 4 years ago
- Algorithms for abstention, calibration and domain adaptation to label shift.☆36Updated 4 years ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆77Updated last year
- Neural Additive Models (Google Research)☆69Updated 3 years ago
- Enabling easy statistical significance testing for deep neural networks.☆331Updated 8 months ago
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…☆145Updated 2 years ago
- A lightweight implementation of removal-based explanations for ML models.☆58Updated 3 years ago
- Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…☆127Updated 3 years ago
- Reusable BatchBALD implementation☆78Updated last year
- Official Code Repo for the Paper: "How does This Interaction Affect Me? Interpretable Attribution for Feature Interactions", In NeurIPS 2…☆39Updated 2 years ago
- List of relevant resources for machine learning from explanatory supervision☆156Updated last month
- A Machine Learning workflow for Slurm.☆149Updated 4 years ago
- ☆264Updated 5 years ago
- For calculating global feature importance using Shapley values.☆266Updated this week
- Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)☆48Updated 3 years ago
- Multislice PHATE for tensor embeddings☆59Updated 3 years ago
- This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help …☆24Updated 2 years ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated 2 years ago
- Implementation of Estimating Training Data Influence by Tracing Gradient Descent (NeurIPS 2020)☆227Updated 3 years ago
- Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020☆150Updated 4 years ago
- Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020☆235Updated 2 years ago
- Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR☆60Updated 4 years ago
- General-purpose dimensionality reduction and manifold learning tool based on Variational Autoencoder, implemented in TensorFlow.☆158Updated 2 months ago
- Implemented Machine Learning Algorithms in Hyperbolic Geometry (MDS, K-Means, Support vector machines, etc.)☆129Updated 4 years ago
- Weakly Supervised End-to-End Learning (NeurIPS 2021)☆156Updated last year
- ☆125Updated 3 years ago
- Library that contains implementations of machine learning components in the hyperbolic space☆132Updated 11 months ago
- This repository contains implementations of algorithms proposed in recent papers from top machine learning conferences on Fairness, Accou…☆33Updated 2 years ago