This repository serves as a curated, star-ranked list of popular GitHub projects in the deep learning domain. It aims to help developers and researchers quickly identify and explore leading tools and frameworks by providing a snapshot of trending projects, updated automatically.

How It Works

The project aggregates deep learning repositories from GitHub, ranking them by their star count. This approach leverages community popularity as a proxy for project relevance and adoption, offering a dynamic overview of the deep learning landscape.

Quick Start & Requirements

• Install/Run: No direct installation or execution commands are provided as this is a curated list.
• Prerequisites: None beyond a web browser to view the list.
• Resources: Minimal.

Highlighted Details

• Automatically updated list of top deep learning projects ranked by GitHub stars.
• Includes a wide range of frameworks like TensorFlow, PyTorch, Keras, Caffe, and MXNet.
• Features projects related to neural style transfer, reinforcement learning, and speech recognition.
• Provides brief descriptions and star counts for each listed project.

Maintenance & Community

The project's last automatic update was on September 4, 2017. It is inspired by another GitHub repository, aymericdamien/TopDeepLearning.

Licensing & Compatibility

The repository itself does not specify a license. The listed projects have their own individual licenses.

Limitations & Caveats

The project has not been updated since September 2017, making the listed rankings and project popularity potentially outdated. It is a static snapshot and does not reflect current trends or developments in deep learning.