Alex Lyttle's Projects
A friendly package for Kepler & TESS time series analysis in Python.
Markdown CV or resumé template with pandoc
Template for mid-course assessment.
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
A repo for our peak baggin code and tips on jam
Tools for easily accessing and manipulating data from MESA in python.
A high-level probabilistic programming interface for TensorFlow Probability
Python implementation of BlakeRMills/MoMAColors.
Skills session introduction to Python virtual environments.
Example repository for git workshop
Training a neural network to approximate a grid of stellar evolutionary models with rotational periods
Website for the SASP E&D posters
Inferring stellar parameters at scale with hierarchical Bayesian models.
Paper for the scalable stellar inference project.
A new approach to API documentation in Sphinx.
Statsmodels: statistical modeling and econometrics in Python
Going up!
Code for emulating a grid of stellar models with a neural network.
A python tool for creating a synthetic population of field stars from MESA evolutionary tracks.
My thesis submitted to the University of Birmingham for the degree of Doctor of Philosophy.
Simple LaTeX template following University of Birmingham thesis guidelines
Personal website