eeervin's Stars
edouardthom/ATPBetting
A strategy for tennis matches betting
NBA-Betting/NBA_AI
Using AI to predict the outcomes of NBA games.
NBA-Betting/NBA_Betting
Using data analytics and machine learning to create a comprehensive and profitable system for predicting the outcomes of NBA games.
danchyy/Basketball_Analytics
Repository which contains various scripts and work with various basketball statistics
rd11490/NBA_Tutorials
Tutorials for processing nba data
cmunch1/nba-prediction
A project to deploy an online app that predicts the win probability for each NBA game every day. Demonstrates end-to-end Machine Learning deployment.
Seb943/scrapeOP
A python package for scraping oddsportal.com
KengoA/fantasy-basketball
Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Kings with genetic algorithm
matsonj/nba-monte-carlo
Monte Carlo simulation of the NBA season, leveraging dbt, duckdb and evidence.dev
kyleskom/NBA-Machine-Learning-Sports-Betting
NBA sports betting using machine learning
rholder/retrying
Retrying is an Apache 2.0 licensed general-purpose retrying library, written in Python, to simplify the task of adding retry behavior to just about anything.
evmcheb/nba_predictions
Predicting NBA results with scraped statistics
jrbadiabo/Bet-on-Sibyl
Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)
BradleyGrantham/pl-predictions-using-fifa
Training a neural network to predict the outcome of a football match using fifa ratings
pinnacleapi/pinnacleapi-documentation
Pinnacle API Documentation
rozzac90/pinnacle
Python Wrapper for Pinnacle Sports API
seemethere/nba_py
Python client for NBA statistics located at stats.nba.com
swar/nba_api
An API Client package to access the APIs for NBA.com
krishnakartik1/LSTM-footballMatchWinner
This repository contains the code for a conference paper "Predicting the football match winner using LSTM model of Recurrent Neural Networks" that we wrote
jordipons/musicnn
Pronounced as "musician", musicnn is a set of pre-trained deep convolutional neural networks for music audio tagging.
BME-SmartLab-Education/vitmav45
Git repo for the BME deep learning course.