Global

OBLITERATUS is the most advanced open-source toolkit for understanding and removing refusal behaviors from large language models — and every single run makes it smarter.

app — the end-signal probe, public pages, and the live steered-model lab.

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

This is a package with state of the art methods for Explainable AI for computer vision. This can be used for diagnosing model predictions, either in production or while developing models.

SHAP (SHapley Additive exPlanations) is a game theoretic approach to explain the output of any machine learning model.

0: Kolmogorov-Arnold Networks Meet Science". You may want to quickstart with hellokan, try more examples in tutorials, or read the documentation here.

YSDA course in Natural Language Processing

BDH (Dragon Hatchling) is a biologically inspired large language model architecture that connects principles of deep learning with the foundations of neuroscience.

This project is about explaining what machine learning classifiers (or models) are doing.

To understand space is to construct it within, to reason is to manipulate what we construct.

IMPORTANT] > Seeking Research and Dev. Collaborations. We are actively looking for research > collaborators to explore downstream applications built on DMI such as interpretability, speculative decoding, > hallucination analysis, distillation, activation steering, and beyond.