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Stars gained: From May 10, 2026 to Nov 12, 2026, each from zeroStars gainedFrom May 10, 2026 to Nov 12, 2026, each from zero050100May 10Nov 12, 2026curiousily/Getting-Things-Done-with-PytorchtimeseriesAI/tsai
Stars: The star count at the end of each dayStarsThe star count at the end of each day4K6KMay 8Nov 12, 2026curiousily/Getting-Things-Done-with-PytorchtimeseriesAI/tsai

Facts

Fact 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

timeseriesAI/tsai

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

Stars 2,5176,144
Net stars, last 30 days +7+17
Largest star day +3 on Sep 2, 2026+5 on Jul 20, 2026
Milestone reached in the record NoneNone
Forks 638722
Language Jupyter NotebookJupyter Notebook
License APACHE-2.0APACHE-2.0
Created Jan 31, 2020Sep 30, 2019
Last push Jun 30, 2024Jul 23, 2026
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)2 of 3 checks (1 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 11, 2026Nov 10, 2026

Topics that all of them have on the Repository Host: pytorch, deep-learning, machine-learning, time-series, transformer. 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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