Interactive exploration of NBA roster turnover
☆16Sep 4, 2024Updated last year
Alternatives and similar repositories for nba-roster-turnover
Users that are interested in nba-roster-turnover are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Building a shot probability model from NBA shot chart data☆12Jun 20, 2020Updated 5 years ago
- ☆16Jan 3, 2022Updated 4 years ago
- Data from the 18th tournament of the FIBA Basketball World Cup for men's national basketball teams☆18Dec 3, 2020Updated 5 years ago
- Euroleague and Eurocup Scrapper☆12Dec 8, 2022Updated 3 years ago
- R package for European basketball data.☆17Dec 9, 2017Updated 8 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- System for selecting optimal march madness brackets☆19Mar 16, 2023Updated 3 years ago
- The aim of this repository is to publish several Python Notebooks to see how Machine Learning can be applied to basketball-based European…☆22Jan 17, 2021Updated 5 years ago
- ☆11Sep 30, 2022Updated 3 years ago
- Show ML predictions w/ Streamlit☆12Apr 2, 2024Updated 2 years ago
- Visualization and analysis of NBA player tracking data☆234Nov 24, 2017Updated 8 years ago
- An R package for working with women's NCAA basketball play-by-play data☆10Oct 15, 2021Updated 4 years ago
- An application demo Streamlit's components☆23Aug 14, 2023Updated 2 years ago
- A collection of python notebooks exploring popular methods for rating sports teams (and other things)☆10Sep 7, 2017Updated 8 years ago
- Códigos de algumas visualizações de dados☆11Mar 15, 2024Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆14Apr 24, 2026Updated 2 weeks ago
- R CFB scraper☆13Oct 13, 2015Updated 10 years ago
- Generate optimal daily fantasy sports lineup☆10Aug 30, 2016Updated 9 years ago
- Collection of code snippets for blogs, conferences, and talks☆24Nov 1, 2022Updated 3 years ago
- ☆16Oct 1, 2021Updated 4 years ago
- Files used for Senior Thesis (Yale University, Spring 2019)☆11Oct 3, 2019Updated 6 years ago
- R package for obtaining and analyzing basketball data from the Euroleague☆31May 4, 2023Updated 3 years ago
- Computer Science, Data Science and ML Fundamentals☆11May 30, 2025Updated 11 months ago
- ☆21Mar 3, 2022Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Exports a simple website using a bunch of conventions and a Figma document as the structure☆14Jun 13, 2023Updated 2 years ago
- A playground for Kardinal. Your ticket to the lightest-weight Kubernetes dev environments in the world.☆21Oct 21, 2024Updated last year
- Code to scrape play-by-play data from the XFL website and reshape data into more useful columns for public analysis☆14Mar 19, 2021Updated 5 years ago
- ☆41Jan 15, 2020Updated 6 years ago
- Parses, Analyzes and Predicts for the Korean Baseball League☆17Dec 8, 2022Updated 3 years ago
- Azure devops extension for rendering Jupyter Notebook inline☆12Nov 28, 2022Updated 3 years ago
- An R package to quickly obtain clean and tidy men's basketball play by play data.☆132Mar 26, 2026Updated last month
- Handy list of network visualisation libraries for R☆12Nov 11, 2019Updated 6 years ago
- PyPI package to calculate comprehensive confidence intervals for classification positive rate, precision, NPV, and recall using a labeled…☆10Jul 6, 2023Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆12May 13, 2025Updated 11 months ago
- optasoccer is a Python library for reading opta soccer data☆11Mar 14, 2024Updated 2 years ago
- ☆14Nov 8, 2025Updated 6 months ago
- Sample R code for visualising models (especially models in data space)☆16Oct 6, 2008Updated 17 years ago
- Using machine learning to classify NBA players☆10Mar 4, 2021Updated 5 years ago
- Betting lines from pinnacle for data research☆12Jul 19, 2017Updated 8 years ago
- ☆11May 8, 2019Updated 7 years ago