Topic: ai-explainability Goto Github
Some thing interesting about ai-explainability
Some thing interesting about ai-explainability
ai-explainability,Example projects for Arthur Model Monitoring Platform
Organization: arthur-ai
Home Page: https://arthur.ai
ai-explainability,Introduction to simple machine learning, deep learning and geometric deep learning concepts and methods.
User: basiralab
ai-explainability,Comprehensive LLM testing suite for safety, performance, bias, and compliance, equipped with methodologies and tools to enhance the reliability and ethical integrity of models like OpenAI's GPT series for real-world applications.
User: copyleftdev
ai-explainability,University of Piraeus - Thesis Project
User: despinakz
ai-explainability,Implementation of global methods (explain the behavior of a model as a whole) and local methods (respect to a specific decision) that allow to explain why an AI model makes its decisions.
User: divanoletto
ai-explainability,This project aims to differentiate among various diseases (multiclass prediction) present in mango leaves. Various machine learning techniques were employed in this project to achieve optimal performance in a model capable of predicting multiple classes.
User: enriqmancomp
ai-explainability,Explainability of AI models is a difficult task which is made simpler by Cortex Certifai. It evaluates AI models for robustness, fairness, and explainability, and allows users to compare different models or model versions for these qualities. Certifai can be applied to any black-box model including machine learning models, predictive models and works with a variety of input datasets.
Organization: ibmdevelopermea
ai-explainability,Introduction to trusted AI. Learn to use fairness algorithms to reduce and mitigate bias in data and models with aif360 and explain models with aix360
Organization: ibmdeveloperuk
ai-explainability,Comparative Analysis of Bi-Directional Long Short-Term Memory and BERT Models for Fake News Detection with Explainable AI Using Lime
User: sharshitha1606
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