Projects

Explore the AlgoTree package, a suite of utilities for working with tree-like data structures in Python using a generic API (duck typing).

Ollama Data Tools is a Python package and set of command line tools for working with Ollama model data, including searching, filtering, exporting,a and adapting for use with other inference engines like llamacpp.

This paper explores inductive biases and projection functions to enhance out-of-distribution generalization in autoregressive models. With the theory in place, we aim to implement these ideas in Python and develop tests and evaluations to validate our approach.

I am creating a tiny LLM for ElasticSearch DSL as a proof of concept.

A general framework for constructing and working with Bernoulli models.

An API for constructing and working with likelihood models; works well with algebraic.mle R package

A model of a second-order Bernoulli set with false positives and false negatives

An API for algebraic maximum likelihood fitting

An R package for backpropagation through a computational graph

Investigates maximum likelihood techniques to estimate component reliability from masked failure data in series systems. A simulation study is used to assess the sensitivity of the MLE to various parameters like sample size, masking probability, and other so on, using components with Weibull lifetimes arranged in series.