Absorbing Information on PyTorch Resources

February 24, 2019

Part of the Python Category and Deep Learning (Machine Learning) Category

Note: [**] indicates Python3 Script or Jupyter Notebook ran fine

Original author(s) Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan
Initial release October 2016; 2 years ago
Stable release
0.4.1 / 26 July 2018; 2 months ago
Preview release
1.0 rc1 / 2 October 2018; 5 days ago
Repository github.com/pytorch/pytorch
Written in Python, C++, CUDA
Operating system Linux, macOS, Windows
Type Library for machine learningand deep learning
Website pytorch.org

PyTorch is an open source machine learning library for Python, based on Torch,[1][2][3] used for applications such as natural language processing.[4] It is primarily developed by Facebook‘s artificial-intelligence research group,[5][6][7] and Uber‘s “Pyro” software for probabilistic programming is built on it.

A place to bookmark links in no particular order about this topic.

  1. Facebook launches PyTorch 1.0 with integrations for Google Cloud, AWS, and Azure Machine Learning – Completed October 6, 2018 [**]
  2. PyTorch tutorial: Get started with deep learning in Python – Completed on October 7, 2018 [**]
  3. Earlier today I posted this Section of my NewAdventure blog pertaining to PyTorch. Now just a few hours later I find via LinkedIn that 60 users have already reviewed that post! – October 8, 2018
  4. Udacity: Intro to Deep Learning with PyTorch by facebook Artificial Intelligence – Completed Lessons – 3 out of 8; All 21 Concepts of #3 as of December 1, 2018 [**]
  5. A Brief Introduction to PySpark – Completed reading February 24, 2019
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About Don Larson

Using computer technology since June 1980.
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