Trending-Deep-Learning and Top-Deep-Learning
These two tools are complements because they both provide lists of trending deep learning repositories, with one (Trending-Deep-Learning) focusing on daily star gains for the top 100, and the other (Top-Deep-Learning) offering an overall top 200 list by total stars, allowing users to get both a current snapshot and a historical view of popular repositories.
About Trending-Deep-Learning
mbadry1/Trending-Deep-Learning
Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.
This provides a daily updated list of the top 100 trending deep learning open-source projects. It takes a broad set of deep learning topics as input and outputs a ranked list of repositories, showing their daily star gains and total stars. This is for AI researchers, machine learning engineers, or anyone wanting to stay current with popular deep learning advancements.
About Top-Deep-Learning
mbadry1/Top-Deep-Learning
Top 200 deep learning Github repositories sorted by the number of stars.
This project helps deep learning practitioners discover popular and established open-source deep learning tools and resources. It takes a broad query for deep learning terms and returns a ranked list of GitHub repositories, showing their name, description, language, and GitHub stars. This is useful for researchers, data scientists, and machine learning engineers looking for widely adopted deep learning projects.
Scores updated daily from GitHub, PyPI, and npm data. How scores work