EffectivePyTorch VS Awesome-pytorch-list

Compare EffectivePyTorch vs Awesome-pytorch-list and see what are their differences.

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EffectivePyTorch Awesome-pytorch-list
1 2
1,622 15,000
- -
10.0 0.0
about 2 years ago 4 months ago
- -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

EffectivePyTorch

Posts with mentions or reviews of EffectivePyTorch. We have used some of these posts to build our list of alternatives and similar projects.

Awesome-pytorch-list

Posts with mentions or reviews of Awesome-pytorch-list. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-19.

What are some alternatives?

When comparing EffectivePyTorch and Awesome-pytorch-list you can also consider the following projects:

Deep-learning-Notebook - A collection of deep learning notebooks for learning and practicing.

awesome-asyncio - A curated list of awesome Python asyncio frameworks, libraries, software and resources

Machine-Learning-Tutorials - machine learning and deep learning tutorials, articles and other resources

awesome-codex - A list dedicated to products, demos and articles related to 🤖 OpenAI's Codex.

netron - Visualizer for neural network, deep learning and machine learning models

500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code - 500 AI Machine learning Deep learning Computer vision NLP Projects with code

ivy - The Unified AI Framework

awesome-document-understanding - A curated list of resources for Document Understanding (DU) topic

3D-Machine-Learning - A resource repository for 3D machine learning

awesome-deep-learning - A curated list of awesome Deep Learning tutorials, projects and communities.

build-your-own-x - Master programming by recreating your favorite technologies from scratch.

d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.