Resources for Machine Learning Explainability
☆90Sep 4, 2024Updated 2 years ago
Alternatives and similar repositories for Interpretability
Users that are interested in Interpretability are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This repository contains the implementation of Label-Free XAI, a new framework to adapt explanation methods to unsupervised models. For m…☆25Sep 21, 2022Updated 4 years ago
- A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.☆187Mar 26, 2025Updated last year
- This repository contains the implementation of Dynamask, a method to identify the features that are salient for a model to issue its pred…☆77May 31, 2022Updated 4 years ago
- Implementation of Tabular Neural Gradient Orthogonalization and Specialization (TANGOS). A regularizer for neural networks described in o…☆19Feb 23, 2023Updated 3 years ago
- The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation (NeurIPS 2021) by Alex J. Chan, Ioana Bica, Alihan Huyuk…☆29Jan 5, 2022Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- TemporAI: ML-centric Toolkit for Medical Time Series☆130Dec 14, 2023Updated 2 years ago
- ☆14Jul 5, 2023Updated 3 years ago
- Github for the NIPS 2020 paper "Learning outside the black-box: at the pursuit of interpretable models"☆14Sep 7, 2022Updated 4 years ago
- DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks☆22Jun 16, 2025Updated last year
- ☆14Jun 24, 2024Updated 2 years ago
- Code and data repository associated with the respiratory resistance sensitivity discrimination manuscript.☆10Jun 4, 2026Updated 4 months ago
- A Data-Centric library providing a unified interface for state-of-the-art methods for hardness characterisation of data points.☆26Mar 6, 2025Updated last year
- Scripts used to generate the ClinVar conflicting classifications dataset on Kaggle☆20Jul 28, 2020Updated 6 years ago
- A Python package for integrating, processing, and analyzing incomplete multi-modal datasets.☆32Sep 5, 2026Updated last month
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆11Oct 5, 2020Updated 6 years ago
- Code for the 2020 class Networks in Computational Biology (CS446/546) at Oregon State University☆15Oct 29, 2020Updated 5 years ago
- Learning materials for Coding for Machine Learning and Data Science☆21Sep 24, 2025Updated last year
- An Automated Machine Learning system for longitudinal classification built on GAMA and Scikit-Longitudinal☆43Mar 20, 2026Updated 6 months ago
- A registry of tutorials, workshop material, videos and other educational resources to help you learn more about DataLad.☆17Aug 3, 2023Updated 3 years ago
- ☆13May 24, 2026Updated 4 months ago
- Influence Estimation for Gradient-Boosted Decision Trees☆29May 27, 2024Updated 2 years ago
- ☆10Jul 15, 2026Updated 2 months ago
- Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data (NeurIPS 2022)☆18Mar 20, 2023Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- “Style Transfer as Data Augmentation: A Case Study on Named Entity Recognition” (EMNLP 2022)☆16Feb 2, 2023Updated 3 years ago
- R package to compute distribution-free prediction bands using density estimators☆11Jul 26, 2021Updated 5 years ago
- A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.☆691Apr 21, 2026Updated 5 months ago
- Cancer Suppressor Gene and Oncogene Prediction using Deep Learning (CNN)☆10Mar 7, 2018Updated 8 years ago
- Toolbox package for organizing and working with TCGA data☆31Jul 2, 2026Updated 3 months ago
- Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)☆21Nov 27, 2022Updated 3 years ago
- A framework for prototyping and benchmarking imputation methods☆202Apr 4, 2023Updated 3 years ago
- Code for the Nadaraya-Watson Head - an interpretable/explainable, nonparametric classification head which can be used with any neural net…☆10Jul 16, 2024Updated 2 years ago
- Synthetic data using Generative Adversarial Networks☆12Oct 4, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Code for "General-Purpose Brain Foundation Models for Time-Series Neuroimaging Data"☆15Dec 14, 2024Updated last year
- ☆12Jul 21, 2024Updated 2 years ago
- Code for Stop&Hop, a method for learning to classify irregularly-sampled time series early☆20Oct 3, 2024Updated 2 years ago
- Healthcare-specific tools for bias analysis☆39Dec 22, 2022Updated 3 years ago
- The R code and datasets for the paper "Random Forest Prediction Intervals"☆15Oct 22, 2018Updated 7 years ago
- Do input gradients highlight discriminative features? [NeurIPS 2021] (https://arxiv.org/abs/2102.12781)☆12Jan 10, 2023Updated 3 years ago
- Here I gather promising research directions to make DNNs interpretable☆17Apr 11, 2024Updated 2 years ago