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Pirate-960/Machine-Learning-in-Law

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The "Machine Learning in Law for Classification" repo applies machine learning to classify legal texts. It includes data preprocessing, feature extraction, and model training to categorize legal documents based on case types, issues, or outcomes, aiming to streamline legal decision-making and improve tasks like case law retrieval and research.

active 2024-12-102025-02-22 (UTC)

Complete coverage27,254 / 27,257 hourly files (100%) · 2 absent upstream2023-08-152026-09-23 (UTC)
Events
34
Pushes
23
Pull requests
0
Issues
0
Stars
4
Forks
1

Activity over time

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Line chart, 75 days from 2024-12-10 to 2025-02-22. Pushes: 23 total, peak 13 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 4 total, peak 3 in a day.

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Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
Pirate-960191900
icgcihan2200
MuhammedNael2200

Recent activity

Latest issues, pull requests and releases

No issue or PR events — this repo's activity is pushes only.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 4 stars here means stars gained during the window, not the repo's star count.