holistic-ai / holisticai
This is an open-source tool to assess and improve the trustworthiness of AI systems.
☆85Updated this week
Alternatives and similar repositories for holisticai:
Users that are interested in holisticai are comparing it to the libraries listed below
- A curated list of awesome academic research, books, code of ethics, data sets, institutes, maturity models, newsletters, principles, podc…☆62Updated this week
- A Natural Language Interface to Explainable Boosting Machines☆63Updated 6 months ago
- Experimental library integrating LLM capabilities to support causal analyses☆103Updated 4 months ago
- Editing machine learning models to reflect human knowledge and values☆124Updated last year
- Python library for implementing Responsible AI mitigations.☆63Updated last year
- Testing Language Models for Memorization of Tabular Datasets.☆33Updated 2 weeks ago
- Competing Risks and Survival Analysis☆66Updated this week
- [Experimental] Global causal discovery algorithms☆96Updated 3 weeks ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆237Updated 5 months ago
- Introduction to Data-Centric AI, MIT IAP 2023 🤖☆98Updated last month
- A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.☆216Updated last month
- [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.☆51Updated this week
- PyTorch package to train and audit ML models for Individual Fairness☆64Updated last year
- Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data☆273Updated last year
- Shapley Interactions and Shapley Values for Machine Learning☆312Updated this week
- TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!☆117Updated last year
- Stanford CRFM's initiative to assess potential compliance with the draft EU AI Act☆93Updated last year
- A Causal AI package for causal graphs.☆55Updated 2 weeks ago
- Client interface to Cleanlab Studio and the Trustworthy Language Model☆26Updated this week
- 📖 A curated list of resources dedicated to synthetic data☆124Updated 2 years ago
- Python implementation of binary and multi-class Venn-ABERS calibration☆140Updated 4 months ago
- 👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.☆311Updated 2 weeks ago
- ☆42Updated 5 months ago
- Methods for online conformal prediction.☆108Updated this week
- Evaluate uncertainty, calibration, accuracy, and fairness of LLMs on real-world survey data!☆17Updated this week
- Repository for the explanation method Calibrated Explanations (CE)☆60Updated this week
- Tabular In-Context Learning☆40Updated last month
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆160Updated 2 years ago
- Full Stack Graph Machine Learning: Theory, Practice, Tools and Techniques☆71Updated last month
- Notes, exercises and other materials related to causal inference, causal discovery and causal ML.☆134Updated 6 months ago