A repository for explaining feature attributions and feature interactions in deep neural networks.
☆194Jan 16, 2022Updated 4 years ago
Alternatives and similar repositories for path_explain
Users that are interested in path_explain are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Repository for the paper "An Adversarial Approach for the Robust Classification of Pneumonia from Chest Radiographs"☆19Jan 14, 2020Updated 6 years ago
- Tools for training explainable models using attribution priors.☆128Mar 19, 2021Updated 5 years ago
- Code for paper "Principled feature attribution for unsupervised gene expression analysis"☆14Mar 7, 2023Updated 3 years ago
- Source code for "Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models", ICLR 2020.☆29Jun 28, 2020Updated 6 years ago
- Code and documentation for experiments in the TreeExplainer paper☆198Oct 4, 2019Updated 7 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- ☆20Jul 14, 2022Updated 4 years ago
- 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
- Discretized Integrated Gradients for Explaining Language Models (EMNLP 2021)☆27Mar 26, 2022Updated 4 years ago
- ☆10Jun 19, 2019Updated 7 years ago
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)☆125Aug 25, 2021Updated 5 years ago
- Local explanations with uncertainty 💐!☆41Aug 8, 2023Updated 3 years ago
- code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"☆54Mar 25, 2022Updated 4 years ago
- List of relevant resources for machine learning from explanatory supervision☆168Jul 14, 2025Updated last year
- For calculating global feature importance using Shapley values.☆294Updated this week
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Model interpretability and understanding for PyTorch☆5,711Updated this week
- FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)☆72Oct 20, 2021Updated 4 years ago
- Understanding attention for text classification☆16Nov 27, 2020Updated 5 years ago
- Code for Evaluating Explanations for Reading Comprehension with Realistic Counterfactuals.☆17Apr 25, 2021Updated 5 years ago
- This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help …☆24Jan 31, 2023Updated 3 years ago
- A lightweight implementation of removal-based explanations for ML models.☆59Jul 19, 2021Updated 5 years ago
- Distribution of word meanings in Wikipedia for English, Italian, French, German and Spanish.☆10Jan 4, 2021Updated 5 years ago
- Simple and efficient access to genomic data for deep learning models.☆43Jan 9, 2020Updated 6 years ago
- Support LRCN(both rgb and optical-flow). This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework wh…☆13Mar 6, 2018Updated 8 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Code for the paper "Model Agnostic Interpretability for Multiple Instance Learning".☆13Jan 28, 2022Updated 4 years ago
- ☆21Oct 12, 2021Updated 5 years ago
- Code for paper "When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data"☆14Feb 16, 2021Updated 5 years ago
- Compositional Explanations of Neurons, NeurIPS 2020 https://arxiv.org/abs/2006.14032☆27Apr 9, 2021Updated 5 years ago
- This is the official implementation of TAGCOS: Task-agnostic Gradient Clustered Coreset Selection for Instruction Tuning Data☆13Jul 21, 2024Updated 2 years ago
- This is the official implementation for our ACL 2024 paper: "Causal Estimation of Memorisation Profiles".☆25Mar 25, 2025Updated last year
- Demo for method introduced in "Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs"☆55Jul 23, 2020Updated 6 years ago
- Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"☆27Feb 11, 2021Updated 5 years ago
- ☆31Oct 7, 2022Updated 4 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- ReCross: Unsupervised Cross-Task Generalization via Retrieval Augmentation☆23May 1, 2022Updated 4 years ago
- Identifying Visible Actions in Lifestyle Vlogs☆15Aug 3, 2023Updated 3 years ago
- Tensorflow implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks". It explains connections between…☆17Mar 11, 2019Updated 7 years ago
- Code for NAACL 2022 paper "Reframing Human-AI Collaboration for Generating Free-Text Explanations"☆29Apr 28, 2023Updated 3 years ago
- Measuring if attention is explanation with ROAR☆22Mar 3, 2023Updated 3 years ago
- SpanNER: Named EntityRe-/Recognition as Span Prediction☆134May 13, 2022Updated 4 years ago
- This repository contains the code for running the character-level Sandwich Transformers from our ACL 2020 paper on Improving Transformer …☆58Jan 1, 2021Updated 5 years ago