ArrasL / LRP_for_LSTMView external linksLinks
Layer-wise Relevance Propagation (LRP) for LSTMs.
☆226Apr 24, 2020Updated 5 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
Sorting:
- Tensorflow 2.1 implementation of LRP for LSTMs☆40Jan 9, 2023Updated 3 years ago
- The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Py…☆335Jun 13, 2022Updated 3 years ago
- 使用LSTM及股票因子数据预测未来收益,使用LRP(layer-wise relevance propagation)增强网络可解释性☆31Sep 24, 2019Updated 6 years ago
- A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).☆139Feb 19, 2021Updated 4 years ago
- A toolbox to iNNvestigate neural networks' predictions!☆1,306Apr 11, 2025Updated 10 months ago
- Basic LRP implementation in PyTorch☆174Jul 25, 2024Updated last year
- ☆17Jun 10, 2020Updated 5 years ago
- A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also in…☆760Aug 25, 2020Updated 5 years ago
- LRP for LSTM using Korean dataset(NSCM)☆19Dec 19, 2019Updated 6 years ago
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.☆239Jan 30, 2026Updated 2 weeks ago
- A pytorch implemention of the Explainable AI work 'Contrastive layerwise relevance propagation (CLRP)'☆17Jun 24, 2022Updated 3 years ago
- Implementing LRP (Layer-wise Relevance Propagation) for a sequence-to-sequence model with GRU layers.☆12Sep 8, 2023Updated 2 years ago
- Deployment instructions to get a GPU VM for the Deep Learning class☆19Jun 26, 2018Updated 7 years ago
- LRP for LSTMs, GRUs, and BERT.☆17Jan 16, 2021Updated 5 years ago
- A lightweight implementation of removal-based explanations for ML models.☆59Jul 19, 2021Updated 4 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆84Dec 8, 2022Updated 3 years ago
- ☆47May 22, 2017Updated 8 years ago
- ☆113Nov 21, 2022Updated 3 years ago
- ☆14Jun 8, 2018Updated 7 years ago
- Converter from UD-trees to BART representation☆36Mar 6, 2024Updated last year
- ☆12Jan 9, 2019Updated 7 years ago
- Theano-based Deep Learning library (convnets, recurrent neural networks, and more).☆14Aug 2, 2017Updated 8 years ago
- Using Explainable Artificial Intelligence (XAI) for sentiment analysis (NLP)☆15Mar 28, 2022Updated 3 years ago
- This is the code used in the paper "Diagonal RNNs in Symbolic Music Modeling"☆17Apr 18, 2017Updated 8 years ago
- Guidelines for the responsible use of explainable AI and machine learning.☆17Jan 30, 2023Updated 3 years ago
- ☆22Aug 31, 2021Updated 4 years ago
- PyTorch implementation of SmoothTaylor☆15Sep 5, 2021Updated 4 years ago
- Public facing deeplift repo☆873Apr 28, 2022Updated 3 years ago
- ☆18Jan 21, 2021Updated 5 years ago
- ☆15Jan 21, 2022Updated 4 years ago
- A toolkit for social media information extraction using multi-task learning and active learning☆19Dec 27, 2022Updated 3 years ago
- A basic implementation of Layer-wise Relevance Propagation (LRP) in PyTorch.☆102Nov 2, 2022Updated 3 years ago
- Code/figures in Right for the Right Reasons☆57Dec 29, 2020Updated 5 years ago
- B-LRP is the repository for the paper How Much Can I Trust You? — Quantifying Uncertainties in Explaining Neural Networks☆18Jun 22, 2022Updated 3 years ago
- tutorials of XAI project☆77Dec 19, 2019Updated 6 years ago
- Tensorflow tutorial for various Deep Neural Network visualization techniques☆346Aug 22, 2020Updated 5 years ago
- Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history☆38Jun 21, 2017Updated 8 years ago
- Files for Event Nugget Detection systems submitted to TAC 2015 shared task on Event Nugget Detection☆18Aug 31, 2018Updated 7 years ago
- Reference implementation of algorithms for reinforcement learning and Markov decision processes.☆12Jan 28, 2021Updated 5 years ago