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shiny 📦 to visualize RLA trials

A JSON data reader for GALACTIC

This software is used to compute TF IDF weighting from texts that are based on the document_tracking_resources format. Vectors and weightings are computed thanks to a resource file that contains a representation of the language used in the same context as the text to weight (news features to weight texts published in the news).

This competition proposes to improve / denoise OCR-ed texts, on a testbed of more than 20 million characters form English, French, German, Finish, Spanish, Dutch, Czech, Bulgarian, Slovak and Polish.

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Methods to take into account digit preference (heaping) in count data of wildlife

Stage L3i 2018 - Beacons Estimote. Application finale de lecture des beacons sous iOS. Réalisé par M. BREUER Dylan

This software is used to compute dense vectorisations (sentence embeddings) of sequences of sentences of natural text. It is able to handle multilingual documents until the model used is a multilingual one. This relies on the S-BERT architecture, software and models (https://www.sbert.net/). It computes dense vector representations for tokens, lemmas, entities, etc. of your datasets.

Learning Management Systems like Moodle generate detailed logs from student interactions, offering significant potential for learning analytics and educational process mining. However, raw logs capture interaction-based actions rather than actual learning processes, limiting their pedagogical relevance. To address this, we developed Moodle2EventLog, a tool that automates the cleaning, preprocessing, and semantic enrichment of Moodle logs. The tool operates in two modules: the first cleans and structures logs by generating event logs with key elements (case IDs, activities, timestamps), and the second enriches them by grouping low-level events into context-aware sub-processes and maps them to "Semantic Activities" based on Bloom’s Taxonomy.

A csv data reader for GALACTIC