79 Open source projects that are alternatives of or similar to Deeplift

🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

Automatic equation building and curve fitting. Runs on Tensorflow. Built for academia and research.

💡 A curated list of adversarial attacks on model explanations

Text classification models. Used a submodule for other projects.

General Interpretability Package

Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University

Codebase for "Demystifying Black-box Models with Symbolic Metamodels", NeurIPS 2019.

Algorithms for monitoring and explaining machine learning models

[ICCV 2017] Torch code for Grad-CAM

moDel Agnostic Language for Exploration and eXplanation

Interpretability Methods for tf.keras models with Tensorflow 2.x

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Federated Learning Library: https://fedml.ai

XAI - An eXplainability toolbox for machine learning

Visualization toolkit for neural networks in PyTorch! Demo -->

Interesting resources related to XAI (Explainable Artificial Intelligence)

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM