| ScottfreeLLC/AlphaPy |
1,003 |
|
0 |
0 |
over 2 years ago |
25 |
August 29, 2020 |
13 |
apache-2.0 |
Python |
| Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost |
| 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 |
| neuml/tldrstory |
329 |
|
0 |
0 |
over 2 years ago |
6 |
August 18, 2021 |
7 |
apache-2.0 |
Python |
| 📊 Semantic search for headlines and story text |
| chonyy/ML-auto-baseball-pitching-overlay |
219 |
|
0 |
0 |
over 4 years ago |
0 |
|
2 |
|
Python |
| ⚾🤖⚾ Automatic baseball pitching overlay in realtime |
| mcekovic/tennis-crystal-ball |
150 |
|
0 |
0 |
about 4 years ago |
0 |
|
53 |
apache-2.0 |
Java |
| Ultimate Tennis Statistics and Tennis Crystal Ball - Tennis Big Data Analysis and Prediction |
| Furkan-Gulsen/Sport-With-AI |
107 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
apache-2.0 |
Jupyter Notebook |
| The human body is detected with the help of the Mediapipe library. Then, using the mathematical methods applied, it is determined how much the exercise count is done. |
| rdroste/unisal |
70 |
|
0 |
0 |
almost 5 years ago |
0 |
|
1 |
apache-2.0 |
Python |
| Unified Image and Video Saliency Modeling (ECCV 2020) |
| chonyy/basketball-shot-detection |
64 |
|
0 |
0 |
over 3 years ago |
0 |
|
4 |
|
Python |
| :basketball: Judging basketball shots and analyzing shooting pose with machine learning |
| 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 |
