AvishakeAdhikary / Realtime-Sign-Language-Detection-Using-LSTM-Model

Realtime Sign Language Detection: Deep learning model for accurate, real-time recognition of sign language gestures using Python and TensorFlow.

Date Created 2023-05-17 (about a year ago)
Commits 16 (last one 9 months ago)
Stargazers 46 (0 this week)
Watchers 2 (0 this week)
Forks 12
License mit
Ranking

RepositoryStats indexes 630,031 repositories, of these AvishakeAdhikary/Realtime-Sign-Language-Detection-Using-LSTM-Model is ranked #511,775 (19th percentile) for total stargazers, and #480,376 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #13,931/18,981.

AvishakeAdhikary/Realtime-Sign-Language-Detection-Using-LSTM-Model is also tagged with popular topics, for these it's ranked: python (#20,078/23346),  deep-learning (#7,561/8797),  machine-learning (#7,213/8381),  computer-vision (#2,757/3285),  tensorflow (#2,091/2300),  artificial-intelligence (#1,906/2270),  natural-language-processing (#1,279/1469),  neural-network (#1,013/1136),  opencv (#799/982)

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Recent Commit History

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

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Issue History

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Languages

The only known language in this repository is Jupyter Notebook

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AvishakeAdhikary/Realtime-Sign-Language-Detection-Using-LSTM-Model

updated: 2025-03-22 @ 03:46am, id: 641766588 / R_kgDOJkCUvA