Code & Software

Open-source implementations and research software related to kernel methods, scalable learning, and feature learning.

Research Software

• Neural Controllers
  Code for the steering and monitoring work on concept vectors in large language models from Toward universal steering and monitoring of AI models (arXiv).
  ▦GitHub
• xRFM
  A scalable implementation of Recursive Feature Machines optimized for tabular data, including the tree-based xRFM extension for efficient large-scale learning; related to Mechanism for feature learning in neural networks and backpropagation-free machine learning models (arXiv).
  ▦GitHub
• Recursive Feature Machines
  An implementation of Recursive Feature Machines (RFM), a feature-learning approach that iteratively constructs task-adapted representations as an alternative to standard neural network training pipelines; see Science 2024 and arXiv.
  ▦GitHub
• EigenPro
  A fast and scalable kernel solver for large-scale machine learning problems. EigenPro uses eigendecomposition-based approximations to make kernel methods practical on very large datasets.
  ▦GitHub