Package Usage: pypi: sacremoses

SacreMoses
52 versions
Latest release: presque 3 ans 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: presque 2 ans ago - Pushed: environ 2 ans ago

betagouv/ada

Accompagner le corps enseignant dans la création de contenus pédagogiques scientifiques

Size: 386 Mo - Last synced: environ 2 mois ago - Pushed: 2 mois ago

etalab/pseudononymizer 📦

API for pseudononymizing

Size: 59,8 Mo - Last synced: environ 2 mois ago - Pushed: plus de 6 ans ago

ecolabdata/2021-NLP_AE

Size: 204 Mo - Last synced: environ 2 mois ago - Pushed: presque 5 ans ago

etalab-ia/pseudonymisation_decisions_ce 📦

Temporary repo to split the pseudo livrable

Size: 25,8 Mo - Last synced: environ 2 mois ago - Pushed: plus de 6 ans ago

etalab/SIANCE

Archive of SIANCE project (May 2021 version)

Size: 4,14 Mo - Last synced: environ 2 mois ago - Pushed: presque 4 ans ago

medialab/chatgpt-study

Exploratory research on discourses around ChatGPT and AI.

Size: 79,1 ko - Last synced: environ 2 mois ago - Pushed: presque 3 ans ago

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

Collect tweets for H2020 MOOD project

Last synced: presque 2 ans ago - Pushed: environ 2 ans 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: environ 2 ans ago - Pushed: environ 2 ans ago

etalab-ia/ami-ia-dgs

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

Size: 38,1 Mo - Last synced: environ 2 mois ago - Pushed: plus de 3 ans ago

almanach/lectaurep/ner

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

Last synced: presque 2 ans 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: presque 2 ans ago

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