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17 search results found

Traceml ⭐ 493

Engine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.

Quantus ⭐ 460

Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations

Machine_learning_tutorials ⭐ 421

Code, exercises and tutorials of my personal blog ! 📝

Aspect Based Sentiment Analysis ⭐ 413

💭 Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)

Tf Keras Vis ⭐ 286

Neural network visualization toolkit for tf.keras

CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms

Path_explain ⭐ 134

A repository for explaining feature attributions and feature interactions in deep neural networks.

Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications

Information Bottlenecks for Attribution

Relational_deep_reinforcement_learning ⭐ 41

Bert_attn_viz ⭐ 25

Visualize BERT's self-attention layers on text classification tasks

Intel Xai Tools ⭐ 23

Explainable AI Tooling (XAI). XAI is used to discover and explain a model's prediction in a way that is interpretable to the user. Relevant information in the dataset, feature-set, and model's algorithms are exposed.

Xai Demonstrator ⭐ 17

The XAI Demonstrator is a modular platform that lets users interact with production-grade Explainable AI (XAI) systems.

a framework for Automated Classification of Medical Images

Frame-agnostic XAI Library for Computer Vision, for understanding why models behave that way.

Keras Explainable ⭐ 5

Efficient explaining AI algorithms for Keras models

Tensorflow 2.2.0 implementation of GradCam

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