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Hi, I'm Dan. I'm interested in Bayesian machine learning, particularly in dynamic environments. You can reach me at the email listed on this page!

Dan Waxman's Projects

bayesnewton icon bayesnewton

Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.

chanceme icon chanceme

ChanceMe is a simpler, more accurate, more fun way to calculate your chances of getting into college

controlanimations icon controlanimations

Some animations for teaching control theory written using [manim](https://github.com/3b1b/manim).

dagma-dce icon dagma-dce

Code implementing the paper "DAGMA-DCE: Interpretable, Non-Parametric Differentiable Causal Discovery"

manim icon manim

Animation engine for explanatory math videos

mcmc_diagnostics icon mcmc_diagnostics

Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan

numpyro icon numpyro

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

pi-gen icon pi-gen

Tool used to create the raspberrypi.org Raspbian images

tbaapi3 icon tbaapi3

A Python library for the TBA API v3

vq icon vq

The program is called IVQ and is an interactive video quiz tool. The point of this is to merge quizzing and videos to make it easier for students to learn.

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