A toolbox to iNNvestigate neural networks' predictions!
☆1,305Apr 11, 2025Updated last year
Alternatives and similar repositories for innvestigate
Users that are interested in innvestigate are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also in…☆759Aug 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.☆246May 13, 2026Updated last week
- ☆100Mar 29, 2018Updated 8 years ago
- Layer-wise Relevance Propagation (LRP) for LSTMs.☆225Apr 24, 2020Updated 6 years ago
- Basic LRP implementation in PyTorch☆175Jul 25, 2024Updated last year
- 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.
- Interpretability Methods for tf.keras models with Tensorflow 2.x☆1,038Jun 3, 2024Updated last year
- Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations☆663May 4, 2026Updated 3 weeks ago
- Model interpretability and understanding for PyTorch☆5,628May 9, 2026Updated 2 weeks ago
- A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).☆138Feb 19, 2021Updated 5 years ago
- Public facing deeplift repo☆873Apr 28, 2022Updated 4 years ago
- Implementation of Layerwise Relevance Propagation for heatmapping "deep" layers☆97Aug 21, 2018Updated 7 years ago
- Interesting resources related to XAI (Explainable Artificial Intelligence)☆856May 31, 2022Updated 3 years ago
- ViRelAy is a visualization tool for the analysis of data as generated by CoRelAy.☆31Apr 30, 2026Updated 3 weeks ago
- Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).☆995Mar 20, 2024Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Tensorflow 2.1 implementation of LRP for LSTMs☆41Jan 9, 2023Updated 3 years ago
- Tensorflow tutorial for various Deep Neural Network visualization techniques☆345Aug 22, 2020Updated 5 years ago
- Interpreting DNNs, Relative attributing propagation☆77Dec 7, 2020Updated 5 years ago
- Interpretability and explainability of data and machine learning models☆1,775Mar 18, 2026Updated 2 months ago
- There and Back Again: Revisiting Backpropagation Saliency Methods (CVPR 2020)☆53Apr 7, 2020Updated 6 years ago
- Neural network visualization toolkit for keras☆2,994Feb 7, 2022Updated 4 years ago
- The toolkit to explain Keras model predictions.☆14Aug 2, 2024Updated last year
- The code snippets for the SW chapter of the "Interpretable AI" book.☆19Apr 10, 2019Updated 7 years ago
- Layerwise Relevance Propagation with Deep Taylor Series in TensorFlow☆72Jan 22, 2017Updated 9 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.
- Code for the TCAV ML interpretability project☆653May 5, 2026Updated 2 weeks ago
- A game theoretic approach to explain the output of any machine learning model.☆25,431May 16, 2026Updated last week
- ☆115Nov 21, 2022Updated 3 years ago
- ☆916Mar 19, 2023Updated 3 years ago
- Fit interpretable models. Explain blackbox machine learning.☆6,852Updated this week
- ☆14Jul 2, 2019Updated 6 years ago
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆144Jan 14, 2026Updated 4 months ago
- Lime: Explaining the predictions of any machine learning classifier☆12,133Jul 25, 2024Updated last year
- Estimating Example Difficulty using Variance of Gradients☆66Jan 10, 2023Updated 3 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.
- Algorithms for explaining machine learning models☆2,628Oct 17, 2025Updated 7 months ago
- A collection of infrastructure and tools for research in neural network interpretability.☆4,705Feb 6, 2023Updated 3 years ago
- ☆34Jan 3, 2023Updated 3 years ago
- Code for the CVPR 2020 [ORAL] paper "SAM: The Sensitivity of Attribution Methods to Hyperparameters"☆29Dec 8, 2022Updated 3 years ago
- A curated list of awesome responsible machine learning resources.☆4,029Mar 16, 2026Updated 2 months ago
- TODO ;)☆12Aug 13, 2018Updated 7 years ago
- A basic implementation of Layer-wise Relevance Propagation (LRP) in PyTorch.☆102Nov 2, 2022Updated 3 years ago