tensorflow / tcav
Code for the TCAV ML interpretability project
☆634Updated 7 months ago
Alternatives and similar repositories for tcav:
Users that are interested in tcav are comparing it to the libraries listed below
- Towards Automatic Concept-based Explanations☆157Updated 10 months ago
- Tensorflow's Fairness Evaluation and Visualization Toolkit☆347Updated last month
- A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also in…☆744Updated 4 years ago
- Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).☆970Updated 11 months ago
- Understanding Deep Networks via Extremal Perturbations and Smooth Masks☆345Updated 4 years ago
- Code for "High-Precision Model-Agnostic Explanations" paper☆799Updated 2 years ago
- Public facing deeplift repo☆852Updated 2 years ago
- Interpretability and explainability of data and machine learning models☆1,665Updated 2 weeks ago
- ☆628Updated 3 years ago
- Code for the Proceedings of the National Academy of Sciences 2020 article, "Understanding the Role of Individual Units in a Deep Neural N…☆302Updated 4 years ago
- ☆51Updated 4 years ago
- ☆913Updated last year
- Attributing predictions made by the Inception network using the Integrated Gradients method☆612Updated 3 years ago
- ☆468Updated 7 months ago
- PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation☆334Updated 3 years ago
- A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.☆558Updated last year
- ☆133Updated 5 years ago
- ☆264Updated 5 years ago
- Interpretability Methods for tf.keras models with Tensorflow 2.x☆1,023Updated 9 months ago
- ☆313Updated 2 years ago
- Source code/webpage/demos for the What-If Tool☆939Updated 6 months ago
- Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…☆127Updated 3 years ago
- Implementation of Layerwise Relevance Propagation for heatmapping "deep" layers☆97Updated 6 years ago
- A toolkit that streamlines and automates the generation of model cards☆430Updated last year
- 🏔️ Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations☆114Updated 5 years ago
- The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Py…☆331Updated 2 years ago
- Bayesian Deep Learning Benchmarks☆667Updated last year
- To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective t…☆174Updated last year
- ☆109Updated 2 years ago
- Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet☆616Updated last year