Package Usage: pypi: sacremoses

SacreMoses
52 versions
Latest release: almost 2 years ago
120 dependent packages
2,305,348 downloads last month

View more package details: https://packages.ecosystem.code.gouv.fr/registries/pypi.org/packages/sacremoses

Dependent Repos 15

umr-tetis/mood/mood_tweets_ner_content

Last synced: about 1 year ago - Pushed: over 1 year ago

betagouv/science-infuse

Accompagner le corps enseignant dans la création de contenus pédagogiques scientifiques

Size: 386 MB - Last synced: about 13 hours ago - Pushed: about 1 month ago

etalab/pseudononymizer 📦

API for pseudononymizing

Size: 59.8 MB - Last synced: about 16 hours ago - Pushed: over 5 years ago

ecolabdata/2021-NLP_AE

Size: 204 MB - Last synced: about 17 hours ago - Pushed: about 4 years ago

etalab-ia/pseudonymisation_decisions_ce 📦

Temporary repo to split the pseudo livrable

Size: 25.8 MB - Last synced: 3 days ago - Pushed: over 5 years ago

etalab/SIANCE

Archive of SIANCE project (May 2021 version)

Size: 4.14 MB - Last synced: about 16 hours ago - Pushed: almost 3 years ago

medialab/chatgpt-study

Exploratory research on discourses around ChatGPT and AI.

Size: 79.1 KB - Last synced: about 14 hours ago - Pushed: about 2 years ago

umr-tetis/mood/mood-tetis-tweets-collect

Collect tweets for H2020 MOOD project

Last synced: about 1 year ago - Pushed: over 1 year ago

remy.decoupes/covid19-tweets-mood-tetis

Extract terms from tweets about covid19 : 1/ Extact and Preprocess tweets from https://github.com/echen102/COVID-19-TweetIDs 2/ Index in elasticsearch and build H-TFIDF 3/ Analyse resultst

Last synced: over 1 year ago - Pushed: over 1 year ago

etalab-ia/ami-ia-dgs

Dépôt de code pour le projet AMI IA 2 de la DGS.

Size: 38.1 MB - Last synced: 3 days ago - Pushed: almost 3 years ago

almanach/lectaurep/ner

Un projet Gitlab pour rassembler le travail fait sur le NER dans le cadre de Lectaurep.

Last synced: about 1 year ago

ConnectionStudio integrates highly heterogeneous data into graphs, enriched with extracted entities. Studio users can discover the entities in their data, navigate across connections between datasets, explore and query the data in many ways. The Studio currently supports: CSV, JSON, XML, RDF, text, property graphs, all Office formats, and PDF datasets. For more information, see: https://connectionstudio.inria.fr The scientific publications behind the platform: https://team.inria.fr/cedar/connectionlens/

Last synced: about 1 year ago

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