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Getting Things Done With Pytorch

Open source Apache-2.0 Jupyter Notebook
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 About 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

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Getting Things Done With Pytorch

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Get SH*T Done with PyTorch

Learn how to solve real-world problems with Deep Learning models (NLP, Computer Vision, and Time Series). Go from prototyping to deployment with PyTorch and Python!

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Read the book here

đź“– Read for FREE

The whole book can be read using the links below. Each part contains a notebook that you can find in this repository.

Consider buying the book if you want to support my work. Thanks for stopping by! 🤗