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

curiousily
curiousily
Date Created 2020-01-31 (5 years ago)
Commits 75 (last one 3 years ago)
Stargazers 2,410 (1 this week)
Watchers 50 (0 this week)
Forks 648
License apache-2.0
Ranking

RepositoryStats indexes 630,031 repositories, of these curiousily/Getting-Things-Done-with-Pytorch is ranked #22,162 (96th percentile) for total stargazers, and #41,212 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #525/18,981.

curiousily/Getting-Things-Done-with-Pytorch is also tagged with popular topics, for these it's ranked: deep-learning (#663/8797),  machine-learning (#696/8381),  pytorch (#407/6207),  computer-vision (#190/3285),  nlp (#169/2515),  tutorial (#137/1557),  object-detection (#79/1228),  transformer (#67/1072),  time-series (#43/697),  bert (#41/577),  yolo (#23/379),  anomaly-detection (#12/354),  face-recognition (#17/352),  face-detection (#27/336),  transfer-learning (#12/323),  sentiment-analysis (#12/262),  coronavirus (#5/137),  time-series-forecasting (#7/111)

Other Information

curiousily/Getting-Things-Done-with-Pytorch has 4 open pull requests on Github, 0 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 16 open issues and 6 closed issues.

Homepage URL: https://mlexpert.io

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updated: 2025-03-22 @ 02:53pm, id: 237385601 / R_kgDODiY3gQ