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AI projects from Hugging Face

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NER Biomedical PHI Ensemble

ajitrajasekharan · Kit

A Streamlit app for named entity recognition in biomedical text that combines three named models through an ensemble config. It suits people who want to try en…

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Image Text Detection

ajitrajasekharan · Kit

A Streamlit app that reads handwritten text from a picture with the microsoft TrOCR handwriting models. It suits people who want to try handwriting recognition…

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ExpertLongBench

launch · Kit

A Streamlit leaderboard page for ExpertLongBench, packaged in Docker with the dataset of the same name. The README has little text beyond the leaderboard title…

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Anime Recommendation System

krishnaveni76 · Kit

Recommends anime from your tastes or a title you liked, using collaborative, content-based and popularity-based methods. A Streamlit app for anime fans and for…

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Example for IS445

jnaiman · Kit

Runs a small Streamlit app labelled as an example for IS445, either online in a browser or from a local copy with Python. The page itself does not say what the…

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A small Streamlit app that suggests songs, shipped with a genres picture. The page gives no details on its data or method, so it suits people who want to read…

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Outsmart

ed-donner · Kit

Pits AI models against each other in a turn-based game of negotiation and strategy, and ranks them across games. It suits anyone curious how language models ba…

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Streamlit Machine Translate

TiberiuCristianLeon · Kit

Translates text between languages in a browser page, with a choice of several open machine translation models. Suits anyone who needs a quick translation, or a…

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Replaces a face in a video clip with another face, using an InsightFace swapper model behind a small Streamlit page. Runs in the browser on Hugging Face or on…

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fev-bench

autogluon · Kit

A forecast evaluation benchmark from the AutoGluon team, packaged as a Streamlit app in a Docker Space. For people who compare time-series forecasting models.

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AI Phone Leaderboard

a-ghorbani · Kit

Shows and analyzes AI benchmark results from mobile devices in a Streamlit dashboard with charts and filters. For people comparing how phones run AI models.

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