Paul Fournier's starred repositories

github-readme-stats

:zap: Dynamically generated stats for your github readmes

Language:JavaScriptLicense:MITStargazers:69581Issues:278Issues:1235

scientific-visualization-book

An open access book on scientific visualization using python and matplotlib

Language:PythonLicense:NOASSERTIONStargazers:10709Issues:189Issues:43

data-science-interviews

Data science interview questions and answers

Language:HTMLLicense:CC-BY-4.0Stargazers:8950Issues:225Issues:16

tsai

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:5254Issues:65Issues:657

NN-SVG

Publication-ready NN-architecture schematics.

Language:JavaScriptLicense:MITStargazers:5076Issues:62Issues:42

pytorch-template

PyTorch deep learning projects made easy.

Language:PythonLicense:MITStargazers:4753Issues:55Issues:64

open-data

Free football data from StatsBomb

football_analytics

πŸ“Šβš½ A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community.

Language:Jupyter NotebookStargazers:1997Issues:82Issues:4

analytics-handbook

Getting started with soccer analytics

Language:Jupyter NotebookLicense:MITStargazers:1530Issues:104Issues:4

statsbombpy

Easily stream StatsBomb data into Python

mplsoccer

Football pitch plotting library for matplotlib

Language:PythonLicense:MITStargazers:409Issues:15Issues:46

SoccermaticsForPython

This repo is dedicated for people getting started with Python using the concepts derived from the book Soccermatics (Sumpter 2016)

Language:PythonLicense:MITStargazers:384Issues:45Issues:2

narya

The Narya API allows you track soccer player from camera inputs, and evaluate them with an Expected Discounted Goal (EDG) Agent. This repository contains the implementation of the flowing paper https://arxiv.org/abs/2101.05388. We also make available all of our pretrained agents, and the datasets we used as well.

Language:Jupyter NotebookLicense:MITStargazers:166Issues:13Issues:27

Soccer-Analyses

The code here is pretty much everything I use to create my datasets (from FBRef) or visuals. Most my scatter plots are made in Tableau, though, using the dataset created from the FBRef dataset download

Language:Jupyter NotebookLicense:MITStargazers:131Issues:2Issues:0

fot-valuing-actions

Friends of Tracking: Tutorial on valuing actions in football.

Language:Jupyter NotebookStargazers:126Issues:17Issues:3

apes-public

Public repo for the GANFT video

Language:PythonLicense:NOASSERTIONStargazers:99Issues:1Issues:0
Language:Jupyter NotebookLicense:NOASSERTIONStargazers:56Issues:6Issues:2

alfred

πŸ’° Interactive dashboard for Stock Market Investments

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:37Issues:7Issues:1

theFPLkiwi

Kiwi shared stats/resources

northpitch

Soccer Plotting Library

Language:PythonLicense:MITStargazers:31Issues:1Issues:0

FPLmodel_19-20

A points projection model for FPL in 19/20 (Now deprecated)

Language:PythonStargazers:19Issues:4Issues:0

GuardianPreviewData

Match previews for 1770 games in the English Premier League

Stargazers:8Issues:0Issues:0

OCR

πŸ” Collection of Optical Character Recognition Solutions

Language:Jupyter NotebookStargazers:7Issues:2Issues:0

Genetic-Algorithm

πŸŽ’ Knapsack Approximation using Genetic Algorithm

Language:Jupyter NotebookStargazers:3Issues:2Issues:0

Fifa18

⚽ Soccer player Transfer Market prediction

Language:Jupyter NotebookStargazers:2Issues:2Issues:0

Ranking-Algorithm-for-College-Football-Teams

Using stationary distribution of a Markov Chain to rank objects

Language:Jupyter NotebookStargazers:1Issues:0Issues:0

MiniMax

βŒβ­• Beating Tic-Tac-Toe with Minimax Alpha Beta

Language:Jupyter NotebookLicense:MITStargazers:1Issues:2Issues:0

openai-gym-dashboard

πŸ•ΉοΈπŸ“‹

Language:PythonStargazers:1Issues:1Issues:0