Stars
LaTeX source for the paper "On Evaluating Adversarial Robustness"
Stampy's copy of Alignment Research Dataset scraper
Practical examples of "Flawed Machine Learning Security" together with ML Security best practice across the end to end stages of the machine learning model lifecycle from training, to packaging, to…
XAI - An eXplainability toolbox for machine learning
A collection of research materials on explainable AI/ML
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 l…
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
Model interpretability and understanding for PyTorch
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
A game theoretic approach to explain the output of any machine learning model.
Fit interpretable models. Explain blackbox machine learning.
A curated list of Large Language Model (LLM) Interpretability resources.
A library for mechanistic interpretability of GPT-style language models
Book about interpretable machine learning
A curated list of awesome responsible machine learning resources.
Guidebook of open source community management best practices; is somewhat opinionated
Integration System for Automated Root filesystem generation
A career development model designed at Red Hat. Good for open organizations.
A community version of the Open Decision Framework - A flexible, open approach to making decisions and leading projects
[NeurIPS 2024] Touchstone - Benchmarking AI on 5,172 o.o.d. CT volumes and 9 anatomical structures
The official Python SDK for Model Context Protocol servers and clients
🤗 smolagents: a barebones library for agents that think in code.
A code repository that cointains all the code for finetuning some of the popular LLMs on medical data
The first open-source harness builder for AI coding. Make AI coding deterministic and repeatable.