| dcaribou/transfermarkt-datasets |
149 |
|
0 |
0 |
about 2 years ago |
0 |
|
20 |
cc0-1.0 |
Python |
| ⚽️ Extract, prepare and publish Transfermarkt datasets. |
| DonsetPG/narya |
131 |
|
0 |
0 |
about 3 years ago |
1 |
May 17, 2020 |
10 |
mit |
Jupyter Notebook |
| 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. |
| gpuopenanalytics/demo-docker |
106 |
|
0 |
0 |
about 8 years ago |
0 |
|
2 |
|
Jupyter Notebook |
| Demo notebooks inside a docker for end-to-end examples |
| RudrakshTuwani/Football-Data-Analysis-and-Prediction |
63 |
|
0 |
0 |
over 9 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| openfootball/italy |
37 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
cc0-1.0 |
|
| Free open public domain football data (football.db) for Italy / Europe - Serie A etc. |
| openfootball/europe-champions-league |
34 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
cc0-1.0 |
|
| Free open public domain football data for Champions League (incl. Qualifiers), Europa League / Europe |
| schochastics/football-data |
32 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
|
R |
| football (soccer) datasets |
| prathameshtari/Predicting-Football-Match-Outcome-using-Machine-Learning |
29 |
|
0 |
0 |
over 7 years ago |
0 |
|
3 |
|
Jupyter Notebook |
| Football Match prediction using machine learning algorithms in jupyter notebook |
| skagr/footballdata |
25 |
|
0 |
0 |
almost 8 years ago |
6 |
July 17, 2017 |
5 |
mit |
Jupyter Notebook |
| A collection of wrappers over football data from various websites / APIs. |
| saheedniyi02/fpl-ai |
23 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| A machine learning system that predicts fpl points of players |
