Awesome Open Source

Programming Languages

Search results for machine learning responsible ai

machine-learning x

responsible-ai x

24 search results found

Awesome Production Machine Learning ⭐ 15,804

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

Giskard ⭐ 2,509

🐢 The testing framework for ML models, from tabular to LLMs

Fairlearn ⭐ 1,727

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

Dalex ⭐ 1,242

moDel Agnostic Language for Exploration and eXplanation

Responsible Ai Toolbox ⭐ 1,187

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.

Model Card Toolkit ⭐ 381

A toolkit that streamlines and automates the generation of model cards

Machine Learning For High Risk Applications Book ⭐ 60

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

Infairness ⭐ 58

PyTorch package to train and audit ML models for Individual Fairness

Responsible Ai Toolbox Mitigations ⭐ 45

Python library for implementing Responsible AI mitigations.

Credoai_lens ⭐ 44

Credo AI Lens is a comprehensive assessment framework for AI systems. Lens standardizes model and data assessment, and acts as a central gateway to assessments created in the open source community.

Responsibleai ⭐ 34

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.

Guardian Ai ⭐ 29

Oracle Guardian AI Open Source Project is a library consisting of tools to assess fairness/bias and privacy of machine learning models and data sets.

Package for evaluating the performance of methods which aim to increase fairness, accountability and/or transparency

Multi-Calibration & Multi-Accuracy Boosting for R

Fairbatch ⭐ 16

FairBatch: Batch Selection for Model Fairness (ICLR 2021)

Awesome Data Science ⭐ 15

Carefully curated list of awesome data science resources.

Responsible Ai Workshop ⭐ 9

Responsible AI Workshop: a series of tutorials & walkthroughs to illustrate how put responsible AI into practice

Explore/examine/explain/expose your model with the explabox!

An in-depth performance profiling library for machine learning models

Enforcing fairness in binary and multiclass classification

Mlops Starter Sklearn ⭐ 6

Azure Machine Learning と GitHub を利用した MLOps のサンプルコード

Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data (NeurIPS 2022)

Data Suite ⭐ 5

Data-SUITE: Data-centric identification of in-distribution incongruous examples (ICML 2022)

Open-source toolkit to help companies implement responsible AI workflows.

Related Searches

Python Machine Learning (23,384)

Jupyter Notebook Machine Learning (13,234)

Machine Learning Artificial Intelligence (5,644)

Machine Learning Data Science (4,514)

Machine Learning Neural Network (4,397)

Machine Learning Tensorflow (4,050)

Machine Learning Natural Language Processing (3,891)

Machine Learning Pytorch (2,594)

Machine Learning Dataset (2,298)

Machine Learning Classification (2,091)

1-24 of 24 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.