A web application framework to visualize sports as a animation of player tracker data. The current build does this using a sample of data provided by the NFL NextGenStats from games during the 2018 season
☆10Jan 26, 2022Updated 4 years ago
Alternatives and similar repositories for sports_animation
Users that are interested in sports_animation are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Let's learn gradient descent by using linear regression, logistic regression and neural networks!☆12Jan 14, 2019Updated 7 years ago
- Fantasy Sandbox Source☆24Dec 10, 2022Updated 3 years ago
- ☆14Mar 10, 2021Updated 5 years ago
- Repository for submissions to the 2021 Analytics Challenge☆10Jul 26, 2021Updated 4 years ago
- ☆19Jan 4, 2022Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- To predict weekly games of the National Football League using game stats☆13Jun 13, 2020Updated 5 years ago
- NFL draft prospect data for text analysis☆15May 5, 2021Updated 4 years ago
- OPC UA Server☆16Mar 28, 2019Updated 7 years ago
- ☆31Oct 19, 2016Updated 9 years ago
- An R package for scraping NFL Draft (1936-current) and Combine data (2000-current). Current functions also support benchmark tables for e…☆13Apr 26, 2022Updated 3 years ago
- Data files (.csv) accessed with nflscrapR and summarized at the player-level☆13Apr 14, 2020Updated 5 years ago
- ☆11May 8, 2019Updated 6 years ago
- Week by week data scraped from the next gen stats public website☆10Sep 19, 2019Updated 6 years ago
- ☆11Jul 25, 2021Updated 4 years ago
- NordVPN Threat Protection Pro™ • AdTake your cybersecurity to the next level. Block phishing, malware, trackers, and ads. Lightweight app that works with all browsers.
- Implementation of the construction of team models representing the offensive style of play of soccer teams, and analysis based on these m…☆11Oct 17, 2022Updated 3 years ago
- A fast & easy way to train ML models in your cloud, directly from your laptop.