| kyleskom/NBA-Machine-Learning-Sports-Betting |
904 |
|
0 |
0 |
over 2 years ago |
0 |
|
8 |
|
Python |
| NBA sports betting using machine learning |
| roclark/sportsipy |
455 |
|
10 |
1 |
over 2 years ago |
19 |
April 09, 2020 |
121 |
mit |
Python |
| A free sports API written for python |
| KengoA/fantasy-basketball |
216 |
|
0 |
0 |
about 3 years ago |
0 |
|
2 |
mit |
Jupyter Notebook |
| Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Kings with genetic algorithm |
| klane/databall |
106 |
|
0 |
0 |
about 3 years ago |
0 |
|
24 |
mit |
Jupyter Notebook |
| Betting on the NBA with data |
| NBA-Betting/NBA_Betting |
93 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| Using data analytics and machine learning to create a comprehensive and profitable system for predicting the outcomes of NBA games. |
| gau820827/AI-writer_Data2Doc |
58 |
|
0 |
0 |
over 6 years ago |
0 |
|
12 |
apache-2.0 |
Python |
| PyTorch Implementation of NBA game summary generator. |
| nealmick/bb |
40 |
|
0 |
0 |
about 2 years ago |
0 |
|
0 |
gpl-3.0 |
|
| NBA Game Prediction Neural Network |
| day-mon/sports-betting-ai |
35 |
|
0 |
0 |
over 2 years ago |
0 |
|
3 |
|
Rust |
| A website that utilizes a deep learning neural network to detect who will win NBA games |
| noahgift/socialpowernba |
20 |
|
0 |
0 |
over 6 years ago |
0 |
|
1 |
other |
Jupyter Notebook |
| Social Power in the NBA (Comparing on the court performance with Social Influence in R and Python) |
| lucasmaystre/kickscore |
18 |
|
1 |
0 |
almost 6 years ago |
5 |
May 09, 2020 |
0 |
mit |
Python |
| Pairwise comparisons with flexible time-dynamics. |
