chrisprasanna / Exercise_Recognition_AI

Developing a virtual personal fitness tracker and exercise activity recognition A.I. using computer vision and deep learning.

Date Created 2022-07-01 (2 years ago)

Commits 54 (last one 2 years ago)

Stargazers 73 (0 this week)

Watchers 2 (0 this week)

Forks 16

License mit

Ranking

RepositoryStats indexes 579,555 repositories, of these chrisprasanna/Exercise_Recognition_AI is ranked #357,042 (38th percentile) for total stargazers, and #476,089 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #8,911/16,901.

chrisprasanna/Exercise_Recognition_AI is also tagged with popular topics, for these it's ranked: deep-learning (#5,815/8344), machine-learning (#5,502/7877), computer-vision (#2,086/3057), real-time (#413/559), pose-estimation (#236/320), human-pose-estimation (#103/144)

Other Information

chrisprasanna/Exercise_Recognition_AI has Github issues enabled, there is 1 open issue and 1 closed issue.

All Topics

real-time deep-learning computer-vision pose-estimation machine-learning attention-mechanism activity-recognition classification-model lstm-neural-networks human-pose-estimation

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Recent Commit History

54 commits on the default branch (main) since jan '22

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The primary language is Jupyter Notebook but there's also others...

updated: 2024-11-06 @ 02:58pm, id: 509275269 / R_kgDOHlrshQ