fredhohman / visual-analytics-in-deep-learning
IEEE TVCG Visual Analytics in Deep Learning Survey
☆19Updated 4 years ago
Alternatives and similar repositories for visual-analytics-in-deep-learning:
Users that are interested in visual-analytics-in-deep-learning are comparing it to the libraries listed below
- t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections☆17Updated 2 years ago
- Code repository for the AAAI 2022 paper "Do Feature Attribution Methods Correctly Attribute Features?"☆20Updated 2 years ago
- Code to study the generalisability of benchmark models on non-stationary EHRs.☆14Updated 5 years ago
- Automatic Training Data Generation with Affinity Coding☆26Updated 5 years ago
- How Can I Explain This to You? An Empirical Study of Deep Neural Network Explanation Methods☆23Updated 4 years ago
- Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks☆17Updated 2 years ago
- Demonstration of the NEON approach for explainable clustering.☆11Updated 3 years ago
- In this part, I've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)☆39Updated 5 years ago
- B-LRP is the repository for the paper How Much Can I Trust You? — Quantifying Uncertainties in Explaining Neural Networks☆18Updated 2 years ago
- (ICML 2021) Mandoline: Model Evaluation under Distribution Shift☆31Updated 3 years ago
- This is a benchmark to evaluate machine learning local explanaitons quality generated from any explainer for text and image data☆30Updated 3 years ago
- Code for "Interpretable Image Recognition with Hierarchical Prototypes"☆18Updated 5 years ago
- Python implementation for evaluating explanations presented in "On the (In)fidelity and Sensitivity for Explanations" in NeurIPS 2019 for…☆25Updated 3 years ago
- Python implementation of the Iterative Classification Algorithm☆35Updated 8 years ago
- Code for "Zero-Shot Out-of-Distribution Detection with Feature Correlations"☆13Updated 5 years ago
- A visual analytic system for fair data-driven decision making☆25Updated 2 years ago
- Short Course on Optimization for Machine Learning - Slides and Practical Lab - Pre-doc Summer School on Learning Systems, July 3 to 7, 20…☆18Updated 7 years ago
- Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"☆54Updated 5 years ago
- Anchor-t-SNE for large-scale and high-dimension vector visualization☆55Updated 5 years ago
- Tensorflow implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks". It explains connections between…☆17Updated 6 years ago
- Code for Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks☆30Updated 7 years ago
- Scalable analysis of large high-dimensional data☆66Updated 5 years ago
- Official repository for "Bridging Adversarial Robustness and Gradient Interpretability".☆30Updated 5 years ago
- This repository is all about papers and tools of Explainable AI☆36Updated 5 years ago
- Experiments on structure learning of Bayesian Networks with emphasis on finding causal relationship☆9Updated 6 years ago
- Codes for reproducing the contrastive explanation in “Explanations based on the Missing: Towards Contrastive Explanations with Pertinent…☆54Updated 6 years ago
- Fine-grained ImageNet annotations☆29Updated 4 years ago
- Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!☆28Updated 5 years ago
- Class Activation Map(CAM) with Pytorch☆66Updated 5 years ago
- The Shape of Data: Intrinsic Distance for Comparing Data Distributions☆12Updated 5 years ago