teddygroves Goto Github PK

.emacs.d

Emacs config

2019-unconference

Organisation of the 2019 unconference

aoc

Advent of code 2019

arviz

Exploratory analysis of Bayesian models with Python

baseball

Experimenting with extreme value distributions for sports modelling and literate programming

bibat

A batteries-included template for Bayesian data analysis projects

bicata

Bayesian ICA for Transcrtiptome Analysis

cmdstanpy

CmdStanPy is a lightweight interface to Stan for Python users which provides the necessary objects and functions to compile a Stan program and fit the model to data using CmdStan.

cmdstanpy-windows

checking if I can install and run cmdstan on windows with github actions

cobrapy

COBRApy is a package for constraint-based modeling of metabolic networks.

cookiecutter-cfb-slides

cookiecutter-org-slides

My template for org mode presentations

cricket

data_club

documentation

documentation of the Biosustain RDM-team's repository

drag_race

Stan model of RPDR series 11

equilibrator_formation

Attempted Bayesian statistical modelling of biological thermodynamics

figure_skating

Example of doing some data analysis, with figure skating. Blog:

football_on_paper

Python scripts and a Stan model supporting my submission to the 2020 Optapro forum.

formation

Bayesian regression models of biochemical thermodynamics

formation_degeneracy

Exploring new ways to fit formation energy models

introduction_to_maud

A Jupyter notebook demonstrating Maud through a story

km-stats

Statistical analysis of km reports from online databases

minimal_maudfail

Troubleshooting a kinetic model

miryoku_kmonad

Miryoku is an ergonomic, minimal, orthogonal, and universal keyboard layout. Miryoku KMonad is the Miryoku implementation for KMonad.

mrna

reproducing a statistical model of mrna regulation

opentecr-schema

contains the code for the schema of the openTECR database

putting

Statistical analysis of putting data using cookiecutter-cmdstanpy-analysis.

pyopensci.github.io

This is the website for pyOpenSci. Contributions welcome!!

smartpeak

Fast and Accurate CE-, GC- and LC-MS(/MS) Data Processing