• Stars
    star
    1
  • Language
    Jupyter Notebook
  • Created over 2 years ago
  • Updated over 2 years ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Some experiments with tennis player aging curves using Hilbert space GPs in PyMC. Only experimental for now.

More Repositories

1

mcmc_runtime_comparison

Compares Stan, PyMC, and PyMC + JAX numpyro sampler on a model for tennis
Jupyter Notebook
29
star
2

jax_advi

Python
13
star
3

paired-comparison-gp-laplace

Paired comparison model using Gaussian Process prior
Jupyter Notebook
13
star
4

jax_elo

Extensions to the Elo algorithm implemented in JAX
Python
11
star
5

jax_vs_numba_glicko

Comparing Jax and Numba for Glicko code
Python
8
star
6

tennis_bayes_point_based

Code for "A point-based Bayesian hierarchical model to predict the outcome of tennis matches"
Jupyter Notebook
8
star
7

roccupy

Fast multi-species occupancy detection modelling from R using OccuPy + reticulate
R
6
star
8

svgp

Code to fit scalable variational Gaussian processes (SVGP)
Jupyter Notebook
4
star
9

sdm_ml

Machine learning models for (multi-) species distribution models to accompany the manuscript "Multi-Output Gaussian Processes for Species Distribution Modelling"
Jupyter Notebook
4
star
10

tennis-stan

Jupyter notebooks and data to fit Bayesian Models for Tennis Prediction
Jupyter Notebook
4
star
11

laplace_gp

Laplace approximation to GP in numpy
Jupyter Notebook
3
star
12

inla-python-experiments

Trying to get something like INLA going in python
Jupyter Notebook
2
star
13

tennisratingscpp

Fast tennis ratings calculations in R using Rcpp.
C++
2
star
14

tennis-sim

Some simple code to do Monte Carlo simulations of tennis matches
Python
2
star
15

tennis-data

Python-based tools to scrape tennis data and read datasets.
Python
2
star
16

dadvi

Python
1
star
17

tennis_formats

Simulation for various tennis formats
Jupyter Notebook
1
star
18

tennis_monte_carlo

A Monte Carlo simulator for tennis matches written in C++. It is set up to support both iid. simulation and the simulation of every possible non-iid. effect.
C++
1
star
19

stan_meetup_talk_august

A short talk on simple models in Stan (Linear regression & hierarchical models)
Jupyter Notebook
1
star
20

elo_demo_r

Just a quick demo of elo in R
R
1
star
21

bayes_workshop

Materials for a one-day Introduction to Bayesian Inference
HTML
1
star
22

jax-hmc

Hamiltonian Monte Carlo in JAX
Jupyter Notebook
1
star
23

stan_f1

Jupyter Notebook
1
star
24

tennis-point-parser

Turns boolean sequence of server win/loss back into match scores.
Python
1
star
25

hmm-em

EM & Viterbi algorithm implementations as an exercise for study group
Jupyter Notebook
1
star
26

glicko-python

A simple implementation of the Glicko rating system
Python
1
star
27

elo-scheme

Just having a bit of fun with MIT Scheme after watching SICP
Scheme
1
star
28

dadvi-experiments

Jupyter Notebook
1
star