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donnemartin / data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
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PyTorch tutorials #61

Open gokriznastic opened 6 years ago

gokriznastic commented 6 years ago

Hey, I see that there are no tutorial notebooks for implementing machine learning algorithms and neural networks in PyTorch in this repo yet. PyTorch is gaining a lot of traction lately and is really going to be one of the most popular frameworks due to its dynamic computational graph & eager execution.

I would like to add such tutorial notebooks in PyTorch.

donnemartin commented 5 years ago

Hi @gokriznastic thanks for the suggestion! Do you have a PyTorch tutorial repo in mind you can link to?

gokriznastic commented 5 years ago

Yes I found some of these apt for learning PyTorch:

https://github.com/yunjey/pytorch-tutorial

https://github.com/bharathgs/Awesome-pytorch-list

https://github.com/ritchieng/the-incredible-pytorch

I can help set up the readme for PyTorch if you would like.

donnemartin commented 5 years ago

@gokriznastic sure, thanks!

KarinaNi commented 7 months ago

Hey, i would love to attempt to solve this issue. To be clear I would show PyTorch tutorials using notebooks with some examples. Do you have any more specifications other than that? I am a beginner though, so I could provide help or collaborate, anything you prefer!