June 12, 2020

212 words 1 min read



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, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

repo name curiousily/Getting-Things-Done-with-Pytorch
repo link https://github.com/curiousily/Getting-Things-Done-with-Pytorch
homepage https://www.curiousily.com/
language Jupyter Notebook
size (curr.) 30116 kB
stars (curr.) 176
created 2020-01-31
license Apache License 2.0

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!

Open In Colab

Read the book here

📖 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! 🤗

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