microsoft / responsible-ai-toolbox-tracker
A JupyterLab extension for tracking, managing, and comparing Responsible AI mitigations and experiments.
☆45Updated last year
Alternatives and similar repositories for responsible-ai-toolbox-tracker:
Users that are interested in responsible-ai-toolbox-tracker are comparing it to the libraries listed below
- Python library for implementing Responsible AI mitigations.☆66Updated last year
- Repo to hold examples of responsible model assessment for a variety of different verticals such as healthcare and financial services☆64Updated last year
- A Repository for the public preview of Responsible AI in AML vNext☆9Updated last month
- Examples and recipes around federated learning in Azure ML.☆68Updated last year
- Providing tools and templates to facilitate modern MLOps practices☆83Updated 8 months ago
- Responsible AI Workshop: a series of tutorials & walkthroughs to illustrate how put responsible AI into practice☆44Updated last month
- Generates synthetic data and user interfaces for privacy-preserving data sharing and analysis.☆118Updated last year
- We view Large Language Models as stochastic language layers in a network, where the learnable parameters are the natural language prompts…☆94Updated 9 months ago
- ML-based medical imaging using Azure☆128Updated 2 years ago
- Scalable solution for ML Observability☆36Updated 10 months ago
- ☆6Updated last year
- Stanford CRFM's initiative to assess potential compliance with the draft EU AI Act☆94Updated last year
- 🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.☆29Updated last year
- Self-verification for LLMs.☆64Updated last year
- Generating and validating natural-language explanations for the brain.☆51Updated 3 weeks ago
- Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.☆42Updated last month
- ☆67Updated this week
- Testing Language Models for Memorization of Tabular Datasets.☆33Updated 2 months ago
- This repository contains different samples applications and sample code to help you get started with the different Health-AI services. Ba…☆45Updated 2 months ago
- Managing Data and Model Drift with Azure Machine Learning☆43Updated 2 years ago
- Interactive coding assistant for data scientists and machine learning developers, empowered by large language models.☆92Updated 6 months ago
- This is an open-source tool to assess and improve the trustworthiness of AI systems.☆90Updated 2 weeks ago
- Learn how to build solutions with Large Language Models.☆146Updated 7 months ago
- TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!☆120Updated last year
- Cross-field empirical trends analysis of XAI literature☆20Updated last year
- Project for open sourcing research efforts on Backward Compatibility in Machine Learning☆73Updated last year
- The RAG Experiment Accelerator is a versatile tool designed to expedite and facilitate the process of conducting experiments and evaluati…☆244Updated 2 weeks ago
- Interactive workflows for creating AI intelligence reports from real-world data sources☆73Updated last month
- Responsible AI knowledge base☆101Updated 2 years ago
- A unified wrapper for various ML frameworks - to have one uniform scikit-learn format for predict and predict_proba functions.☆48Updated 3 months ago