d2l-en VS Awesome-pytorch-list

Compare d2l-en vs Awesome-pytorch-list and see what are their differences.

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d2l-en Awesome-pytorch-list
6 2
21,759 14,964
1.6% -
8.5 0.0
19 days ago 3 months ago
Python
GNU General Public License v3.0 or later -
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.

d2l-en

Posts with mentions or reviews of d2l-en. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-10.

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 d2l-en and Awesome-pytorch-list you can also consider the following projects:

Pytorch-UNet - PyTorch implementation of the U-Net for image semantic segmentation with high quality images

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

DeepADoTS - Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

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

TF-Watcher - Monitor your ML jobs on mobile devices📱, especially for Google Colab / Kaggle

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

99-ML-Learning-Projects - A list of 99 machine learning projects for anyone interested to learn from coding and building projects

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

imbalanced-regression - [ICML 2021, Long Talk] Delving into Deep Imbalanced Regression

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

petastorm - Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.

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