Keras implementation for DASP: Deep Approximate Shapley Propagation (ICML 2019)
☆62Jul 1, 2019Updated 7 years ago
Alternatives and similar repositories for DASP
Users that are interested in DASP are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This is a Pytorch Implementation of the DASP algorithm from the paper "Explaining Deep Neural Networks with a Polynomial Time Algorithm f…☆11Jun 12, 2020Updated 6 years ago
- Tools for robustness evaluation in interpretability methods☆10Jun 25, 2021Updated 5 years ago
- Feedforward implementation of Lightweight Probabilistic Deep Networks for Keras and Tensorflow☆14Jul 1, 2019Updated 7 years ago
- A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also in…☆760Aug 25, 2020Updated 5 years ago
- Implementation of the paper "Shapley Explanation Networks"☆88Jan 16, 2021Updated 5 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ☆12Feb 7, 2017Updated 9 years ago
- Venus is a state-of-the-art sound and complete verification toolkit for Relu-based feed-forward neural networks. It can be used to check…☆15Aug 31, 2022Updated 3 years ago
- LightProbNets☆26Nov 20, 2019Updated 6 years ago
- Model Agnostic Counterfactual Explanations☆91Sep 30, 2022Updated 3 years ago
- ☆24Mar 21, 2017Updated 9 years ago
- CVPR'19 experiments with (on-manifold) adversarial examples.☆43Feb 27, 2020Updated 6 years ago
- Attributing predictions made by the Inception network using the Integrated Gradients method☆651Feb 23, 2022Updated 4 years ago
- ☆25Jan 20, 2019Updated 7 years ago
- Lab tasks for the course on "Data Engineering for Machine Learning"☆10May 1, 2023Updated 3 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ☆11May 25, 2023Updated 3 years ago
- pytorch版simcse无监督语义相似模型☆22May 13, 2021Updated 5 years ago
- Train a simple convnet on the MNIST dataset and evaluate the BALD acquisition function☆16Aug 7, 2017Updated 8 years ago
- Public facing deeplift repo☆879Apr 28, 2022Updated 4 years ago
- Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"☆31Mar 24, 2023Updated 3 years ago
- Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.☆21Feb 2, 2026Updated 5 months ago
- Implements common data processing tasks such as creation of an inverted index, performing a relational join, multiplying sparse matrices …☆11Mar 15, 2016Updated 10 years ago
- ☆11Feb 22, 2019Updated 7 years ago
- Code for the paper "SelectiveNet: A Deep Neural Network with an Integrated Reject Option"☆12Jan 26, 2019Updated 7 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.
- A Generic Network Compression Framework for Sequential Recommender Systems☆20May 5, 2020Updated 6 years ago
- Towards Efficient Shapley Value Estimation via Cross-contribution Maximization☆14Jul 8, 2022Updated 4 years ago
- ☆134Aug 7, 2019Updated 6 years ago
- 十三水的AI出牌算法，速度非常快，一般在毫秒级，附带测试方案☆15Apr 15, 2022Updated 4 years ago
- Python code for perturbation-based saliency map☆12Jul 16, 2018Updated 8 years ago
- implementation of http://arxiv.org/pdf/1511.06391v4.pdf in keras☆13Oct 3, 2016Updated 9 years ago
- [CVPR'19] Trust Region Based Adversarial Attack☆20Dec 11, 2020Updated 5 years ago
- On Calibration of Modern Neural Networks - tensorflow implementation☆29Jun 16, 2018Updated 8 years ago
- This repository contains the source code for "Membership Inference Attacks as Privacy Tools: Reliability, Disparity and Ensemble", In Pro…☆11Jan 2, 2026Updated 6 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Codes for reproducing the contrastive explanation in “Explanations based on the Missing: Towards Contrastive Explanations with Pertinent…☆54Jul 4, 2018Updated 8 years ago
- ☆12Oct 16, 2024Updated last year
- Research code for auditing and exploring black box machine-learning models.☆134May 24, 2023Updated 3 years ago
- Code for "Generative causal explanations of black-box classifiers"☆36Jan 15, 2021Updated 5 years ago
- Comets is a simple chat application using comet. Run as standalone, you don"t need special comet server.☆19Dec 19, 2019Updated 6 years ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆45Nov 10, 2022Updated 3 years ago
- Watson OpenScale tutorials including sample models, notebooks and applications☆24Dec 8, 2022Updated 3 years ago