#Awesome#A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
#大语言模型#🐢 Open-Source Evaluation & Testing library for LLM Agents
The Python Risk Identification Tool for generative AI (PyRIT) is an open source framework built to empower security professionals and engineers to proactively identify risks in generative AI systems.
#计算机科学#A Python package to assess and improve fairness of machine learning models.
#计算机科学#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 libr...
#计算机科学#moDel Agnostic Language for Exploration and eXplanation
#大语言模型#RAG Time: A 5-week Learning Journey to Mastering RAG
#自然语言处理#Deliver safe & effective language models
#计算机科学#A toolkit that streamlines and automates the generation of model cards
💡 Adversarial attacks on explanations and how to defend them
#大语言模型#LangFair is a Python library for conducting use-case level LLM bias and fairness assessments
#计算机科学#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...
#Awesome#Carefully curated list of awesome data science resources.
[NeurIPS 2023] Sentry-Image: Detect Any AI-generated Images
Reading list for adversarial perspective and robustness in deep reinforcement learning.
Open-source test management and generation for conversational Gen AI applications. Build and run context-specific test sets. Collaborate with subject matter experts to ensure relevance and quality.
#计算机科学#Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications
#计算机科学#This is an open-source tool to assess and improve the trustworthiness of AI systems.
#Awesome#A curated list of awesome academic research, books, code of ethics, data sets, institutes, maturity models, newsletters, principles, podcasts, reports, tools, regulations and standards related to Resp...
Référentiel d'évaluation data science responsable et de confiance