Alternatives
Products that do what Basketball shot and shooting pose analysis with machine learning does
- 1SP
2020 · github.com
- 2MB
2020 · github.com
- 3AM
2019 · github.com
- 4AB
2020 · github.com
- 5

- 6PM
2019 · github.com
- 7AA
2019 · github.com
- 8VD
2017 · github.com
- 9UC
2014 · code.flickr.net
- 10

- 11ST
2020 · github.com
- 12SO
2016 · github.com
- 13OC
2018 · github.com
- 14UD
2018 · modeldepot.github.io
- 15IN
2015 · sandbox.github.io
- 16CO
2012 · crowdsend.com
- 17DP
2018 · github.com
- 18PD
2017 · medium.com
- 19

- 20FA
2020 · github.com
- 21AN
2020 · github.com
- 22AB
2021 · github.com
- 23AS
Mar 2026 · github.com
- 24DN
Hey everyone, I’m an NBA fan and Python dev, and I recently built DeepShot — a machine learning model that predicts NBA game outcomes with about 71% accuracy based on historical stats and rolling performance metrics (EWMA). It features: Real NBA data from Basketball Reference Exponentially Weighted Moving Averages to track momentum Interactive NiceGUI interface with team comparison and predictions Full Python stack and open-source (MIT license) Here’s the GitHub repo: https://github.com/saccofrancesco/deepshot And if you like it, here’s my Buy Me a Coffee:…
2025 · github.com
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