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Stars gained: From May 13, 2026 to Nov 12, 2026, each from zeroStars gainedFrom May 13, 2026 to Nov 12, 2026, each from zero020May 13Nov 12, 2026km1994/NLP-Interview-Notescuriousily/Getting-Things-Done-with-Pytorch
Stars: The star count at the end of each dayStarsThe star count at the end of each day2.5K2.6KMay 8Nov 12, 2026km1994/NLP-Interview-Notescuriousily/Getting-Things-Done-with-Pytorch

Facts

Fact km1994/NLP-Interview-Notes

该仓库主要记录 NLP 算法工程师相关的面试题

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 2,5772,517
Net stars, last 30 days +3+7
Largest star day +1 on May 19, 2026+3 on Sep 2, 2026
Milestone reached in the record NoneNone
Forks 492638
Language Not reportedJupyter Notebook
License No licenseAPACHE-2.0
Created Feb 22, 2021Jan 31, 2020
Last push Oct 10, 2023Jun 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 0 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 11, 2026Nov 11, 2026

Topics that all of them have on the Repository Host: bert, transformer, nlp. 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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