Layer-wise Relevance Propagation (LRP) for LSTMs.
☆225Apr 24, 2020Updated 6 years ago
Alternatives and similar repositories for LRP_for_LSTM
Users that are interested in LRP_for_LSTM are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Py…☆335Jun 13, 2022Updated 4 years ago
- ☆225Jul 6, 2016Updated 10 years ago
- Layerwise Relevance Propagation with Deep Taylor Series in TensorFlow☆72Jan 22, 2017Updated 9 years ago
- ☆18Jun 10, 2020Updated 6 years ago
- A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).☆139Feb 19, 2021Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also in…☆760Aug 25, 2020Updated 5 years ago
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.☆247May 13, 2026Updated 2 months ago
- A pytorch implemention of the Explainable AI work 'Contrastive layerwise relevance propagation (CLRP)'☆17Jun 24, 2022Updated 4 years ago
- Implementing LRP (Layer-wise Relevance Propagation) for a sequence-to-sequence model with GRU layers.☆12Sep 8, 2023Updated 2 years ago
- Layer-wise Relevance Propagation for Large Language Models and Vision Transformers [ICML 2024]☆241Jul 11, 2025Updated last year
- A lightweight implementation of removal-based explanations for ML models.☆59Jul 19, 2021Updated 5 years ago
- A basic implementation of Layer-wise Relevance Propagation (LRP) in PyTorch.☆102Nov 2, 2022Updated 3 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆82Dec 8, 2022Updated 3 years ago
- ☆14Jun 8, 2018Updated 8 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.
- Demo for method introduced in "Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs"☆55Jul 23, 2020Updated 5 years ago
- Public facing deeplift repo☆877Apr 28, 2022Updated 4 years ago
- ☆17Feb 2, 2026Updated 5 months ago
- Deep generative model for sentiment analysis☆34Mar 13, 2017Updated 9 years ago
- ☆52Aug 29, 2020Updated 5 years ago
- Explain Neural Networks using Layer-Wise Relevance Propagation and evaluate the explanations using Pixel-Flipping and Area Under the Curv…☆17Aug 7, 2022Updated 3 years ago
- Converter from UD-trees to BART representation☆35Mar 6, 2024Updated 2 years ago
- PyTorch implementation of SmoothTaylor☆15Sep 5, 2021Updated 4 years ago
- An implementation of semi-supervised VAE for morphology reinflection.☆26Jun 3, 2019Updated 7 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆144Jan 14, 2026Updated 6 months ago
- Attributing predictions made by the Inception network using the Integrated Gradients method☆651Feb 23, 2022Updated 4 years ago
- ☆47May 22, 2017Updated 9 years ago
- 'Keep Calm and Trust your Model' : On Explainability of Machine Learning Models☆15Jul 29, 2017Updated 8 years ago
- replicate the results of rule extract lstm☆16Jun 9, 2017Updated 9 years ago
- ☆13Jan 21, 2022Updated 4 years ago
- Code/figures in Right for the Right Reasons☆57Dec 29, 2020Updated 5 years ago
- Guidelines for the responsible use of explainable AI and machine learning.☆17Jan 30, 2023Updated 3 years ago
- tutorials of XAI project☆77Dec 19, 2019Updated 6 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.
- This repository contains binaries for the multiple teacher approach to learning differential private ML models: https://arxiv.org/abs/161…☆10Nov 16, 2016Updated 9 years ago
- Density Order Embeddings☆33May 15, 2019Updated 7 years ago
- A TensorFlow (Python 3) implementation of a differentially-private-GAN.☆20Feb 21, 2020Updated 6 years ago
- ☆12Jan 9, 2019Updated 7 years ago
- On Explaining Your Explanations of BERT: An Empirical Study with Sequence Classification☆29Nov 30, 2022Updated 3 years ago
- Code for☆15Oct 16, 2020Updated 5 years ago
- ☆125May 10, 2021Updated 5 years ago