albermax / innvestigateLinks
A toolbox to iNNvestigate neural networks' predictions!
☆1,307Updated 8 months ago
Alternatives and similar repositories for innvestigate
Users that are interested in innvestigate are comparing it to the libraries listed below
Sorting:
- A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also in…☆761Updated 5 years ago
- The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Py…☆335Updated 3 years ago
- Interpretability Methods for tf.keras models with Tensorflow 2.x☆1,036Updated last year
- Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations☆634Updated 5 months ago
- Public facing deeplift repo☆873Updated 3 years ago
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.☆239Updated 5 months ago
- Attributing predictions made by the Inception network using the Integrated Gradients method☆645Updated 3 years ago
- Code for the TCAV ML interpretability project☆649Updated 6 months ago
- Interesting resources related to XAI (Explainable Artificial Intelligence)☆842Updated 3 years ago
- Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).☆990Updated last year
- Layer-wise Relevance Propagation (LRP) for LSTMs.☆226Updated 5 years ago
- Layers Outputs and Gradients in Keras. Made easy.☆1,054Updated 9 months ago
- Tensorflow tutorial for various Deep Neural Network visualization techniques☆346Updated 5 years ago
- ☆919Updated 2 years ago
- Interpretability and explainability of data and machine learning models☆1,751Updated 10 months ago
- This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpreta…☆384Updated 3 years ago
- Neural network visualization toolkit for tf.keras☆336Updated 9 months ago
- Implementation of Layerwise Relevance Propagation for heatmapping "deep" layers☆98Updated 7 years ago
- 👋 Xplique is a Neural Networks Explainability Toolbox☆725Updated 2 weeks ago
- Detect model's attention☆171Updated 5 years ago
- Code for "High-Precision Model-Agnostic Explanations" paper☆813Updated 3 years ago
- The toolkit to explain Keras model predictions.☆14Updated last year
- Model interpretability and understanding for PyTorch☆5,517Updated this week
- Tensorflow 2.1 implementation of LRP for LSTMs☆40Updated 3 years ago
- A collection of research materials on explainable AI/ML☆1,599Updated last month
- Live training loss plot in Jupyter Notebook for Keras, PyTorch and others☆1,322Updated last week
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,482Updated 5 months ago
- A simple way to calibrate your neural network.☆1,168Updated 5 months ago
- XAI - An eXplainability toolbox for machine learning☆1,213Updated last month
- ☆622Updated 2 years ago