Awesome PyTorch Scholarship Resources

A collection of awesome PyTorch and Python learning resources.

Contributions are always welcome!

Course Information

AMA's

Pytorch AMA 11.09.2018
(Alternate categorized version) Pytorch AMA 11.09.2018
AMA Session Wednesday, November 14th @ 4PM PST
AMA_Session Transcript,Thurs , 11/15/18

Resources

Resources

Documentation

Pytorch Official Documentation

Courses

Courses that can you take alongside PyTorch scholarship course both Python and Machine Learning

Articles

Content published on the Web.

Tutorials

Walkthroughs and tutorials that help you learn ML and PyTorch.

Jupyter Notebooks

From basics to building CNN in PyTorch

Books

Books - free and commercial

Videos

An assortment of conference and training videos.

Training and tutorials

Blogs

Misc

Chrome extension for speeding up youtube video playback speed

I added Github Pages support with a customized Jekyll Theme. I added 4 categories which you can browse to find resources:

Udacity Lessons
Python specific resources
Math Specific resources
Deep Learning and Machine Learning resources

You can see a live version here: Awesome PyTorch Scholarship

I took all the links and split them into the 4 categories already. Currently there are only resource links for Python, Math and Deep Learning. For Udacity Lessons I just added the separate lessons as posts but they are empty for now.

I'm sure this will make the resources easier to categories and find what we need. Slack is exploding at the moment and there is a separate google sheet with lots of resource links. I think this can be the perfect place to save them all. Every contribution is registered on GitHub unlike the 10,000 message limit on slack as well.

Using machine learning to predict and analyze high and low reader engagement for New York Times articles posted to Facebook.

How The New York Times can increase Engagement on Facebook Using machine learning to understand characteristics of news content that garners "high" Fa

0 Sep 16, 2021

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

This is a curated list of tutorials, projects, libraries, videos, papers, books and anything related to the incredible PyTorch. Feel free to make a pu

9.2k Jan 2, 2023

All the essential resources and template code needed to understand and practice data structures and algorithms in python with few small projects to demonstrate their practical application.

Data Structures and Algorithms Python INDEX 1. Resources - Books Data Structures - Reema Thareja competitiveCoding Big-O Cheat Sheet DAA Syllabus Inte

129 Dec 15, 2022

Code and data for ACL2021 paper Cross-Lingual Abstractive Summarization with Limited Parallel Resources.

Multi-Task Framework for Cross-Lingual Abstractive Summarization (MCLAS) The code for ACL2021 paper Cross-Lingual Abstractive Summarization with Limit

43 Nov 7, 2022

We evaluate our method on different datasets (including ShapeNet, CUB-200-2011, and Pascal3D+) and achieve state-of-the-art results, outperforming all the other supervised and unsupervised methods and 3D representations, all in terms of performance, accuracy, and training time.

An Effective Loss Function for Generating 3D Models from Single 2D Image without Rendering Papers with code | Paper Nikola Zubić Pietro Lio University

213 Dec 27, 2022

Add Github Pages Support
I added Github Pages support with a customized Jekyll Theme. I added 4 categories which you can browse to find resources:

Udacity Lessons

Python specific resources

Math Specific resources

Deep Learning and Machine Learning resources

You can see a live version here: Awesome PyTorch Scholarship

I took all the links and split them into the 4 categories already. Currently there are only resource links for Python, Math and Deep Learning. For Udacity Lessons I just added the separate lessons as posts but they are empty for now.

I'm sure this will make the resources easier to categories and find what we need. Slack is exploding at the moment and there is a separate google sheet with lots of resource links. I think this can be the perfect place to save them all. Every contribution is registered on GitHub unlike the 10,000 message limit on slack as well.
opened by alexanderluna 11

A list of awesome PyTorch scholarship articles, guides, blogs, courses and other resources.

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Overview

Awesome PyTorch Scholarship Resources

Course Information

AMA's

Resources

Documentation

Courses

Articles

Tutorials

Jupyter Notebooks

Books

Videos

Training and tutorials

Blogs

Misc

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Using machine learning to predict and analyze high and low reader engagement for New York Times articles posted to Facebook.

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

All the essential resources and template code needed to understand and practice data structures and algorithms in python with few small projects to demonstrate their practical application.

Code and data for ACL2021 paper Cross-Lingual Abstractive Summarization with Limited Parallel Resources.

Code and data for ACL2021 paper Cross-Lingual Abstractive Summarization with Limited Parallel Resources.

We evaluate our method on different datasets (including ShapeNet, CUB-200-2011, and Pascal3D+) and achieve state-of-the-art results, outperforming all the other supervised and unsupervised methods and 3D representations, all in terms of performance, accuracy, and training time.

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Resources for the "Evaluating the Factual Consistency of Abstractive Text Summarization" paper

Code for ACL 21: Generating Query Focused Summaries from Query-Free Resources

Comments

Add Github Pages Support

Owner

Arnas Gečas

Udacity Suse Cloud Native Foundations Scholarship Course Walkthrough

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nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.

A python software that can help blind people find things like laptops, phones, etc the same way a guide dog guides a blind person in finding his way.

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