Popular GitHub Repositories for Stars

Top 200 deep learning Github repositories sorted by the number of stars.

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

更深入地了解你最喜爱的开源代码库。探索每日 Star 数的趋势，突破 4 万 Star 的限制。

Let shadows be your bridge to the stars

Advanced tool for repository analytics, statistics, stars, including fake stars

Auto chat, leave, join discord server, delete, reaction messages with AI. [100 STARS TO ENABLE AUTO CHAT WITH AI]

一个由 Cloudflare 提供支持的 MCP（模型上下文协议）服务器，允许你使用自然语言搜索和查询你 GitHub 上收藏的代码仓库。

Auto chat. [50 STARS TO UNLOCK]

A curated list of awesome Machine Learning frameworks, libraries and software. With repository stars⭐ and forks?

The system deletes fake reviews on products and rates a product automatically based on customer reviews

SlickTok is a web app that lets you generate script for your Tiktok videos that has the potentials to go viral. If we get enough stars, we'd add more features.

Application that predicts the number of stars that of a Yelp Review in realtime as a reviewer types it. Runs as a microservice-based application using Node.js, Python, and Docker. Displays results from Google Natural Language API and a custom trained classification models.

A free and open source tool for star removal in astronomy images. A GAN model implemented in tensorflow and trained to remove stars from astronomical images

The final resting place for ?? https://github.com/stars/ImaniAN/lists/bots

Machine learning and deep learning tutorials, articles and other resources. With repository stars? and forks?

Source Code for AI Telegram Bot, Using Rest API Website https://api-miftah.xyz, Don't Forget to Give Stars ?

A curated list of Artificial Intelligence Top Tools. With repository stars⭐ and forks?

Classfication of Stars, galaxies, and quasars based on their spectral characteristics using Machine Learning models

Create star field images in SVG or PNG formats.

LumeNN is an application that solves problem of binary and multiclass classification of stars with variable luminosity with the usage of different machine learning models