Getting-Things-Done-with-Pytorch

Getting-Things-Done-with-Pytorch

curiousily

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

2.5k Stars
649 Forks
2.5k Watchers
Jupyter Notebook Language
apache-2.0 License
Cost to Build
$184.0K
Market Value
$815.5K

Growth over time

20 data points  ·  2021-07-01 → 2025-09-01
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What is the curiousily/Getting-Things-Done-with-Pytorch GitHub project? Description: "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". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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