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ludwig

Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.

mc3pta

Bayesian-inference tools for pulsar-timing-array data

ml-course-solutions

Jupyter Notebooks for Andrew Ng's Machine Learning Coursera Class

mlops-playground

A repository to play around with some devops/mlops tools and processes

node-jwt-demo

nx01

Python code to perform isotropic, anisotropic (non-evolving/evolving) searches.

old_website

Repository for personal website

pal

PTA Algorithm Library

pal2

Rewrite of PAL

pelican-themes

Themes for pelican

piccard

Piccard: pulsar timing data analysis package

pint

PINT is not TEMPO3 -- New software for high-precision pulsar timing

plotutils

Useful routines for plotting probability density functions and intervals from posterior samples using matplotlib.

police_shooting_data

Script and repository for police shooting data with census and crime covariates

practical_mcmc

A practical guide to MCMC

pymultinest

Pythonic Bayesian inference and visualization for the MultiNest Nested Sampling Algorithm or MCMC.

pypulse

Python package for handling and analyzing PSRFITS files

pyswarm

Particle swarm optimization (PSO) that supports constraints

python-craigslist

Simple Craigslist wrapper

r-optimal-statistic

A simple R implementation of the optimal cross correlation statistic that is used in pulsar timing GW searches.

r_mcmc

Toy MCMC examples in R

random-online-tutorials

A place to store my work on online tutorials

rta-demo

rust-advent-of-code-2021

scikits.cuda

CUDA SciKit

sksparse

Sparse matrix tools extending scipy.sparse, but with incompatible licenses

staged-recipes

A place to submit conda recipes before they become fully fledged conda-forge feedstocks

storybooks

Creating a storybooks app from Traversy Media

teg-14

Paper on numerical marginalization of the pulsar phase to carry out fast bayesian searches for continuous GWs

ternausnetv2

TernausNetV2: Fully Convolutional Network for Instance Segmentation