Sara-mibo / LRP_EncoderDecoder_GRU
Implementing LRP (Layer-wise Relevance Propagation) for a sequence-to-sequence model with GRU layers.
☆11Updated last year
Related projects ⓘ
Alternatives and complementary repositories for LRP_EncoderDecoder_GRU
- Inherently Interpretable Time Series Classification via Multiple Instance Learning (MILLET)☆36Updated 8 months ago
- Code Repository for "SSL-ProtoNet: Self-supervised Learning Prototypical Networks for few-shot learning"☆16Updated last month
- The code for the paper: TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning☆39Updated 3 weeks ago
- Time series explainability via self-supervised model behavior consistency☆38Updated last year
- A pytorch implemention of the Explainable AI work 'Contrastive layerwise relevance propagation (CLRP)'☆17Updated 2 years ago
- A basic implementation of Layer-wise Relevance Propagation (LRP) in PyTorch.☆78Updated 2 years ago
- Bayesian Neural Networks to predict RUL on N-CMAPSS☆11Updated last year
- Transformer-based Models for Unsupervised Anomaly Segmentation in Brain MR Images☆21Updated 2 months ago
- Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".☆30Updated 3 years ago
- Implementation of the InterpretTime framework☆40Updated last year
- [KDD 2024] CAFO: Feature-Centric Explanation on Time Series Classification☆11Updated 5 months ago
- Evidential Deep Learning in PyTorch☆46Updated 2 years ago
- Explain Neural Networks using Layer-Wise Relevance Propagation and evaluate the explanations using Pixel-Flipping and Area Under the Curv…☆13Updated 2 years ago
- A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).☆127Updated 3 years ago
- Prototypical Concept-based Explanations, accepted at SAIAD workshop at CVPR 2024.☆9Updated 4 months ago
- [Neurips 2024] A Multi-Granularity Patching Transformer for Medical Time-Series Classification☆54Updated 3 weeks ago
- Comparing a transormer GAN and a LSTM GAN for augmenting timeseries datasets☆14Updated last year
- Sepsis Prediction using Clinical Data (PhysioNet Computing in Cardiology Challenge 2019)☆27Updated 3 years ago
- [TAI 2023] Contrastive Domain Adaptation for Time-Series via Temporal Mixup☆29Updated 7 months ago
- XEM: An Explainable-by-Design Ensemble Method for Multivariate Time Series Classification☆13Updated last year
- ☆34Updated 4 months ago
- [Neurips 2023] A Hierarchical Contrastive Framework for Medical Time-Series☆62Updated 11 months ago
- PIP-Net: Patch-based Intuitive Prototypes Network for Interpretable Image Classification (CVPR 2023)☆60Updated 9 months ago
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆118Updated 5 months ago
- [KDD2024] Class-incremental Learning for Time Series: Benchmark and Evaluation☆34Updated 5 months ago
- ☆17Updated 7 months ago
- A Systematic Review: Self-Supervised Contrastive Learning for Medical Time Series☆24Updated 4 months ago
- ☆16Updated last year
- [ICLR2024] Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram☆31Updated last month
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.☆203Updated 4 months ago