Lawrence Peirson's Projects
Day 2 materials: PPL and variational inference
My personal website.
Annual computing Boot Camp for new (and other) KIPAC members
Command line implementation of pot-limit Texas Hold 'Em Poker in Python.
CME212 Course Information
Course Repository for CS 375 (Large Scale Neural Network Modules for Neuroscience)
Curriculum Vitae
Dank Learning codebase, generate a meme from any image using AI. Uses a modified version of the Show and Tell image captioning network
chapters of a book Hogg will never write
Keras implementation for Deep Embedding Clustering (DEC)
The Python ensemble sampling toolkit for affine-invariant MCMC
...with git and GitHub
Ensemble of CNNs to predict electron GPD track angles, absorption points and energies for IXPE; see https://arxiv.org/abs/2007.03828
Simulation and analysis framework for the Imaging X-ray Polarimetry Explorer
Microlensing Modelling package
Nutrition optimization
HP7470A Plotter
Materials of the Nordic Probabilistic AI School 2022.
A differentiable simulator for robotic systems.
Fitting Blazar SAVs using nested sampling combined with rapid OSQP constrained least squares
Multi-period seating plan optimization.
Tensorflow Implementation of Spatial Transformer Networks
Synchrotron and synchrotron-self Compton polarization for relativistic jets.
Relativistic Jets in the Era of X-ray Polarimetry