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Stars gained: From May 19, 2026 to Nov 14, 2026, each from zeroStars gainedFrom May 19, 2026 to Nov 14, 2026, each from zero020May 19Nov 14, 2026logpai/loglizercuriousily/Getting-Things-Done-with-Pytorch
Stars: The star count at the end of each dayStarsThe star count at the end of each day1.5K2K2.5KMay 8Nov 14, 2026logpai/loglizercuriousily/Getting-Things-Done-with-Pytorch

Facts

Fact logpai/loglizer

A machine learning toolkit for log-based anomaly detection [ISSRE'16]

curiousily/Getting-Things-Done-with-Pytorch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER

Stars 1,4322,517
Net stars, last 30 days +2+7
Largest star day +2 on Oct 1, 2026+3 on Sep 2, 2026
Milestone reached in the record NoneNone
Forks 437638
Language Jupyter NotebookJupyter Notebook
License MITAPACHE-2.0
Created May 14, 2016Jan 31, 2020
Last push Apr 24, 2024Jun 30, 2024
Archived NoNo
Health facts: Maintenance 1 of 4 checks (2 without data)1 of 4 checks (2 without data)
Health facts: Releases 0 of 3 checks (2 without data)0 of 3 checks (2 without data)
Health facts: Security practice 0 of 1 check (1 without data)0 of 1 check (1 without data)
Health facts: Community files 1 of 3 checks (2 without data)1 of 3 checks (2 without data)
Commits, last 13 weeks No dataNo data
Weeks with commits, last 52 No dataNo data
In the Repository Index since Nov 13, 2026Nov 11, 2026

Topics that all of them have on the Repository Host: anomaly-detection, machine-learning. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined

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