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Fabric is an open-source framework for augmenting humans using AI. It provides a modular system for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.

JavaScript 34,387 3,514 Updated Nov 25, 2025

Collection of sports betting AI tools.

Python 631 116 Updated Nov 25, 2025

Predict Major League Baseball games (win/loss) with machine learning

Python 17 5 Updated Jun 27, 2018

The simplest open-source implementation of perplexity.ai

Python 322 33 Updated Jan 24, 2025

A Perplexity clone.

TypeScript 1,399 280 Updated Mar 28, 2024

Monte Carlo simulation of the NBA season, leveraging dbt, duckdb and evidence.dev

Python 567 77 Updated Nov 24, 2025

An API Client package to access the APIs for NBA.com

Python 3,218 657 Updated Nov 14, 2025

Leveraging machine learning in order to try and predict the outcome of a Major League Baseball game.

Jupyter Notebook 5 2 Updated Jun 10, 2020

dietJuicer is a lighter-weight, HPC flexible version of juicer written with snakemake

Awk 5 7 Updated May 16, 2024
Python 4 Updated Jan 15, 2019

[WIP] Analysis and implementation of different machine learning algorithms on NBA games to predict future game outcomes

Jupyter Notebook 2 Updated Jan 6, 2019

Devon: An open-source pair programmer

Python 3,460 282 Updated May 26, 2025

✨ Light and Fast AI Assistant. Support: Web | iOS | MacOS | Android | Linux | Windows

TypeScript 86,506 60,779 Updated Oct 27, 2025
Jupyter Notebook 1 Updated Mar 29, 2024

A CLI written in Go language that writes git commit messages or do a code review brief for you using ChatGPT AI (gpt-4.1, gpt-4o model) and automatically installs a git prepare-commit-msg hook.

Go 1,485 129 Updated Aug 26, 2025
Python 58 22 Updated Jun 6, 2024

This project includes a machine learning model that predicts winners against the spread for NFL games. This was the capstone project for the Udacity Machine Learning Nanodegree.

Python 2 Updated Sep 28, 2017

Pick winners against the spread, demo https://ldn-spread.herokuapp.com/signin

TypeScript 1 Updated Jun 19, 2017

Analyzing NBA data to predict game/player performance outcomes.

Jupyter Notebook 1 Updated Jan 30, 2023

Predicting the outcome of a game using Logistic Regression Classification

Python 1 Updated Mar 26, 2021

Machine learning model that predicts the outcome of NHL and NBA games, determining the probability of teams winning and point spreads.

Python 13 4 Updated Apr 12, 2025

An attempt to use machine learning to predict the outcome of NBA games. Showcases data cleaning and preprocessing for large NBA dataset.

Python 4 Updated Oct 27, 2022

Predicting NBA game outcome, and detecting exceptional players (outliers)

Python 1 Updated Apr 21, 2021

Using Feature analysis to predict NBA game outcomes

Python 2 Updated Dec 11, 2019

Multi-Input Tensorflow Model to Predict NBA Game Outcomes

Jupyter Notebook 1 Updated Mar 30, 2023

Attempt at predicting the outcome/margin of nba games

HTML 1 Updated Sep 30, 2019

Predicting NBA games outcome with XGBoost in SageMaker

Jupyter Notebook 2 Updated Jul 23, 2020

Hosts the data and scripts used to aggregate data used in the mlr3 gallery posts "Modeling NBA Game Outcome" and "AutoML System to Predict the Outcome of an NBA Game".

R 3 Updated Dec 13, 2022

Predicting the outcome of any given NBA game

Jupyter Notebook 1 Updated Jun 23, 2021

predicting win/loss outcome of NBA games using logistic regression

Jupyter Notebook 1 Updated May 16, 2019
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