This repository provides a curated list of the top 100 trending deep learning GitHub repositories, sorted by daily star gains. It aims to help developers and researchers stay updated on popular and actively developed deep learning projects, offering a snapshot of community interest and innovation in the field.

How It Works

The project leverages the GitHub Search API to query repositories related to deep learning, including terms like "deep-learning," "CNN," "RNN," and their variations. It filters out repositories with over 40,000 stars and presents the top 100 based on stars gained on a specific day. The data is presented in a table format, showing the repository's position, name, description, primary language, daily stars, and total stars.

Quick Start & Requirements

This project is a data compilation and does not have a direct installation or execution command. It serves as a reference list derived from GitHub API queries.

Highlighted Details

• Tracks trending repositories based on daily star gains.
• Filters out repositories exceeding 40,000 stars.
• Covers a broad range of deep learning topics via API search terms.
• Provides a snapshot of repository popularity and activity.

Maintenance & Community

The README indicates that the list "will be updated regularly." No specific community channels or contributor information are provided.

Licensing & Compatibility

The repository itself does not appear to have an explicit license mentioned in the README. The content is derived from GitHub repositories, each with its own licensing.

Limitations & Caveats

The data presented is a snapshot from a specific date (02-02-2020 compared to 09-01-2019) and may not reflect current trends. The exclusion of repositories with over 40,000 stars might omit some highly influential projects. The update frequency is stated as "regularly" but not defined.