responsible-ai

Here are 129 public repositories matching this topic...

EthicalML / awesome-production-machine-learning

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

machine-learning data-mining awesome deep-learning awesome-list interpretability privacy-preserving production-machine-learning mlops privacy-preserving-machine-learning explainability responsible-ai machine-learning-operations ml-ops ml-operations privacy-preserving-ml large-scale-ml production-ml large-scale-machine-learning

Updated Nov 7, 2024

Giskard-AI / giskard

Sponsor

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🐢 Open-Source Evaluation & Testing for ML & LLM systems

Updated Nov 8, 2024
Python

fairlearn / fairlearn

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A Python package to assess and improve fairness of machine learning models.

machine-learning ai artificial-intelligence fairness ai-systems fairness-ai fairness-ml responsible-ai unfairness-mitigation fairness-assessment harms group-fairness

Updated Nov 8, 2024
Python

The Python Risk Identification Tool for generative AI (PyRIT) is an open access automation framework to empower security professionals and machine learning engineers to proactively find risks in their generative AI systems.

responsible-ai red-team-tools generative-ai ai-red-team

Updated Nov 9, 2024
Python

microsoft / responsible-ai-toolbox

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Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

Updated Aug 9, 2024
TypeScript

ModelOriented / DALEX

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moDel Agnostic Language for Exploration and eXplanation

black-box data-science machine-learning predictive-modeling fairness interpretability explainable-artificial-intelligence explanations explainable-ai explainable-ml xai model-visualization interpretable-machine-learning iml dalex responsible-ai responsible-ml explanatory-model-analysis

Updated Oct 2, 2024
Python

JohnSnowLabs / langtest

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Deliver safe & effective language models

nlp artificial-intelligence benchmarks benchmark-framework model-assessment ai-safety mlops responsible-ai ml-safety trustworthy-ai ethics-in-ai ml-testing large-language-models llm ai-testing llm-test llm-evaluation-toolkit llm-as-evaluator llm-testing

Updated Nov 8, 2024
Python

tensorflow / model-card-toolkit

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A toolkit that streamlines and automates the generation of model cards

machine-learning deep-learning tensorflow transparency responsible-ai responsible-ml model-cards

Updated Jul 26, 2023
Python

hbaniecki / adversarial-explainable-ai

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💡 Adversarial attacks on explanations and how to defend them

Updated Mar 5, 2024

natnew / Awesome-Data-Science

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Carefully curated list of awesome data science resources.

data-science data machine-learning awesome ai deep-learning interoperability awesome-list explainable-ai responsible-ai machine-learning-operations ml-operations large-scale-machine-learning

Updated Sep 5, 2023

Inf-imagine / Sentry

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[NeurIPS 2023] Sentry-Image: Detect Any AI-generated Images

ai classification-model responsible-ai generation-models aigc

Updated Nov 8, 2023

serodriguez68 / designing-ml-systems-summary

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A detailed summary of "Designing Machine Learning Systems" by Chip Huyen. This book gives you and end-to-end view of all the steps required to build AND OPERATE ML products in production. It is a must-read for ML practitioners and Software Engineers Transitioning into ML.

machine-learning artificial-intelligence model-selection feature-engineering mlops feature-store data-distribution responsible-ai responsible-ml model-store

Updated Mar 5, 2023

ml-for-high-risk-apps-book / Machine-Learning-for-High-Risk-Applications-Book

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Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications

security machine-learning deep-learning oreilly explainable-ai interpretable-machine-learning oreilly-books responsible-ai trustworthy-ai

Updated May 23, 2023
Jupyter Notebook

EzgiKorkmaz / adversarial-reinforcement-learning

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Reading list for adversarial perspective and robustness in deep reinforcement learning.

deep-reinforcement-learning ai-safety adversarial-machine-learning multiagent-reinforcement-learning robust-machine-learning ai-alignment safe-reinforcement-learning robust-reinforcement-learning responsible-ai adversarial-reinforcement-learning meta-reinforcement-learning explainable-machine-learning adversarial-policies safe-rlhf machine-learning-safety reinforcement-learning-safety artificial-intelligence-alignment reinforcement-learning-alignment robust-deep-reinforcement-learning

Updated Jun 18, 2024

holistic-ai / holisticai

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This is an open-source tool to assess and improve the trustworthiness of AI systems.

benchmark machine-learning privacy robustness explainable-ai efficacy responsible-ai bias-mitigation explainability-metric

Updated Nov 8, 2024
Jupyter Notebook

LabeliaLabs / referentiel-evaluation-dsrc

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Référentiel d'évaluation data science responsable et de confiance

data-science responsible-ai responsible-datascience trustworthy-datascience ia-responsable

Updated Sep 12, 2024

humansensinglab / ITI-GEN

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[ICCV 2023 Oral, Best Paper Finalist] ITI-GEN: Inclusive Text-to-Image Generation

fairness debiasing responsible-ai diffusion-models prompt-tuning inclusiveness text-to-image-generation stable-diffusion

Updated Feb 16, 2024
Python

romanlutz / ResponsibleAI

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A collection of news articles, books, and papers on Responsible AI cases. The purpose is to study these cases and learn from them to avoid repeating the failures of the past.

machine-learning artificial-intelligence bias fairness discrimination responsible-ai hiring-algorithms